Publications - D. Suter

(compiled November 21, 2007)

Also available in (sectionalised) Postscript and PDF formats.

Copyright and other issues:

Some of these papers are available in electronic format. Please note the following: since a version of these papers may have appeared in various books, journals and conference proceedings, the material may be subject to the copyrights of the publishers of those books, journals and proceedings. Please observe their copyrights. Please also note that, in many cases, what appears here is a draft of the final paper - please consult the final published form if necessary. The provision of electronic forms, via the web, is only for the purposes of scholarly study - any other use of this material is prohibited.

In reverse chronological order:

1
K. Schindler, D. Suter, and H. Wang.
A model-selection framework for multibody structure-and-motion of image sequences.
Int. Journal of Computer Vision, accepted 20th Nov. 2007.

2
Tat jun Chin and D. Suter.
Out-of-sample extrapolation of learned manifolds.
IEEE Trans. Pattern Analysis and Machine Intelligence, accepted 26th Sept. 2007.

3
D. Suter.
Title tbd.
(Keynote Talk) IVCNZ, Waikato Univeristy, Hamilton, New Zealand,December 2007.

4
D. Suter.
Statistics of linear and non-linear subspace analysis.
(Invited Talk) MIRU International Workshop on Computer Vision Hiroshima, Japan, July 29, 2007.

5
L. Wang and D. Suter.
Visual learning and recognition of sequential data manifolds with applications to human movement analysis.
Computer Vision and Image Understanding, page to appear, accepted 13 June 2007.

6
L. Wang and D. Suter.
Recognizing human activities from silhouettes: Motion subspace and factorial discriminative graphical model.
In CVPR2007, 2007.

7
T-J. Chin and D. Suter.
Incremental kernel principal component analysis.
IEEE Trans. Image Processing, 16(6):1662-1674, June 2007.

8
H. Wang, D. Suter, K. Schindler, and C. Shen.
Adaptive object tracking based on an effective appearance filter.
IEEE Trans. Pattern Analysis and Machine Intelligence, 29(9):1661-1667, September 2007.

9
L. Wang and D. Suter.
Learning and matching of dynamic shape manifolds for human action recognition.
IEEE Trans. Image Processing, 16(6):1646-1661, June 2007.

10
P. Chen and D. Suter.
A bilinear approach to the parameter estimation of a general heteroscedastic linear system, with application to conic fitting.
Journal of Mathematical Imaging and Vision, page to appear, accepted 21 Jan 2007.

11
K. Yamamoto, T. Yendo, T. Fujii, M. Tanimoto, and D. Suter.
Colour correction for multiple-camera system by using correspondences.
The Journal of The Institute of Image Information and Television Engineering, 61(2):213-222, 2007.

12
H. Wang and D. Suter.
A consensus based method for tracking: Modelling background scenario and foreground appearance.
Pattern Recognition, 40(3):1091-1105, 2007.

13
EeHui Lim and D. Suter.
Conditional random field for 3d point clouds with adaptive data reduction.
In NSAGEM 2007, page to appear, 2007.

14
A. Shaji, S. Chandran, B. Siddiquie, and D. Suter.
Human pose extraction from monocular videos using constrained non-rigid factorization.
In BMVC 2007, page to appear, 2007.

15
Tat-Jun Chin, Liang Wang, Konrad Schindler, and D. Suter.
Extrapolating learned manifolds for human activity recognition.
In ICIP 2007, page to appear, 2007.

16
H. Zhou and D. Suter.
Man-made structure segmentation using gaussian procesess and wavelet features.
In ICIP 2007, page to appear, 2007.

17
H. Zhou and D. Suter.
Fast sparse gaussian processes learning for man-made structure classification.
In Online Learning for Classification Workshop 2007, 2007.

18
J. Cheong, N. Faggian, G. Langs, D. Suter, and F. Cicuttini.
A comparison of model-based methods for knee cartilage segmentation.
In 2nd International Conference on Computer Vision Theory and Applications VISAPP2007, pages 290-295, 2007.

19
J. Cheong, N. Faggian, D. Suter, and F. Cicuttini.
Automatic segmentation of human tibial cartilage.
In The Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications SPPRA 2007, pages 368-373, 2007.

20
R. Hoseinnezhad, A. Bab-Hadiashar, and D. Suter.
Finite sample bias of robust scale estimators in computer vision problems.
In Lecture Notes in Computer Science,International Symposium on Visual Computing (ISVC06), volume 4291, pages 445-454, Heidelberg, 2006. Springer-Verlag.

21
E-H. Lim and D. Suter.
Occlusion removal in image for 3d urban modelling.
In Image and Vision Computing, New Zealand, Nov. 2006, pages 191-196, 2006.

22
E-H. Lim and D. Suter.
Classification of 3d lidar point clouds for urban modelling.
In Image and Vision Computing, New Zealand, Nov. 2006, pages 149-154, 2006.

23
H. Zhou, D. Suter, and K. Schindler.
A hybrid approach to man-made structure extraction from natural scenes.
In Image and Vision Computing, New Zealand, Nov. 2006, pages 61-66, 2006.

24
L. Wang and D. Suter.
Analyzing human movements from silhouettes using manifold learning.
In Int. Conf. on Advanced Video and Signal-based Surveillance, 2006.

25
H. Zhou and D. Suter.
A compact architecture for wireless video surveillance over cdma network.
In Int. Conf. on Advanced Video and Signal-based Surveillance, 2006.

26
Tat-Jun Chin and D. Suter.
Improving the speed of kernel pca on large scale datasets.
In Int. Conf. on Advanced Video and Signal-based Surveillance, 2006.

27
N. Gheissari, A. Bab-Hadiashar, and D. Suter.
Parametric model-based motion segmentation using surface selection criterion.
Computer Vision and Image Understanding, 102(2):214-226, 2006.

28
K. Schindler and D. Suter.
Two-view multibody structure-and-motion with outliers through model selection.
IEEE Trans. Pattern Analysis and Machine Intelligence, 28(6):983-995, 2006.

29
P. Chen and D. Suter.
An analysis of linear subspace approaches for computer vision and pattern recognition.
International Journal of Computer Vision, 68(1):83-106, 2006.

30
T. Tangkuampien and D. Suter.
Real-time human pose inference using kernel principal component pre-image approximations.
In British Machine Vision Conference BMVC2006, pages 599-608, 2006.

31
T. Tangkuampien and D. Suter.
3D object pose inference via kernel principal component analysis with image euclidian distance (IMED).
In British Machine Vision Conference BMVC2006, pages 137-146, 2006.

32
T-J. Chin and D. Suter.
Incremental kernel pca for efficient non-linear feature extraction.
In British Machine Vision Conference BMVC2006, pages 939-948, 2006.

33
H. Wang, D. Suter, and Konrad Schindler.
Effective appearance model and similarity measure for particle filtering and visual tracking.
In European Conference on Computer Vision (ECCV), Graz, Austria, May 7-13, 2006, volume 3953 of LNCS, pages 606-618. Springer, 2006.

34
T. Tangkuampien and D. Suter.
Human motion de-noising via greedy kernel principal component analysis filtering.
In Proc. ICPR 2006, volume 3, pages 457-460, 2006.

35
H. Wang and D. Suter.
Background subtraction based on a robust consensus method.
In Proc. ICPR 2006, volume 1, pages 223-226, 2006.

36
L. Wang and D. Suter.
Informative shape representations for human action recognition.
In Proc. ICPR 2006, volume 2, pages 1266-1269, 2006.

37
H. Wang and D. Suter.
Efficient visual tracking by probabilistic fusion of multiple cues.
In Proc. ICPR 2006, volume 4, pages 892-895, 2006.

38
T.-J. Chin, K. Schindler, and D. Suter.
Incremental kernel svd for face recognition with image sets.
In Proceedings 7th International Conference on Face and Gesture Recognition (FGR2006), Southhampton, UK, pages 461-466, 2006.

39
Hanzi Wang and David Suter.
A novel robust statistical method for background initialization and visual surveillance.
In P.J. Narayanan, Shree K. Nayar, and Heung-Yeung Shum, editors, Computer Vision - ACCV 2006, volume 3851 of LNCS, pages 328-337. Springer, 2006.

40
Tat-Jun Chin and David Suter.
A new distance criterion for face recognition using image sets.
In P.J. Narayanan, Shree K. Nayar, and Heung-Yeung Shum, editors, Computer Vision - ACCV 2006, volume 3851 of LNCS, pages 549-558. Springer, 2006.

41
Mohamed Gobara and David Suter.
Feature detection with an improved anisotropic filter.
In P.J. Narayanan, Shree K. Nayar, and Heung-Yeung Shum, editors, Computer Vision - ACCV 2006, volume 3852 of LNCS, pages 643-652. Springer, 2006.

42
K. Schindler and D. Suter.
Object detection by global contour shape.
Technical Report MECSE-28-2006, Monash University, Clayton 3800, Australia, 2006.
pdf.gif.

43
P. Chen and D. Suter.
A bilinear approach to the parameter estimation of a general heteroscedastic linear system with application to conic fitting.
Technical Report MECSE-21-2006, Monash University, Clayton 3800, Australia, 2006.
pdf.gif.

44
T. Tangkuampien and D. Suter.
Un-calibrated real-time markerless motion capture via kernel subspace mapping.
Technical Report MECSE-1-2006, Monash University, Clayton 3800, Australia, 2006.
pdf.gif.

45
Pei Chen and D. Suter.
Homography estimation and heteroscedastic noise - a first order perturbation analysis.
Technical Report MECSE-32-2005, Monash University, Clayton 3800, Australia, 2005.
pdf.gif.

46
Hanzi Wang and D. Suter.
Sacon: A consensus based model for background subtraction.
Technical Report MECSE-15-2005, Monash University, Clayton 3800, Australia, 2005.
pdf.gif.

47
Tat-Jun Chin and D. Suter.
A new boostrapping strategy for the adaboost-based face detector.
Technical Report MECSE-13-2005, Monash University, Clayton 3800, Australia, 2005.
pdf.gif.

48
Pei Chen and D. Suter.
An analysis of linear subspace approaches for computer vision and pattern recognition (supersedes mecse-6-2003).
Technical Report MECSE-9-2005, Monash University, Clayton 3800, Australia, 2005.
pdf.gif.

49
T.-J. Chin, J. U, K. Schindler, and D. Suter.
Face recognition from video by matching image sets.
In Proc. Digital Image Computing: Techniques and Applications, Cairns, Australia, pages 188-194, 2005.

50
J. Cheong, D. Suter, and F. Cicuttini.
Development of semi-automatic segmentation methods for measuring tibial cartilage volume.
In Proc. Digital Image Computing: Techniques and Applications, Cairns, Australia, pages 307-314, 2005.

51
J. Cheong, D. Suter, and F. Cicuttini.
A semi-automatic system for measuring tibial cartilage volume.
In Proc. IEEE Tencon'05, Melbourne,, Australia, 2005.

52
H. Wang and D. Suter.
Background initialization with a new robust statistical approach.
In IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS'05), pages 153-159, 2005.

53
D. Comaniciu, K. Kanatani, R. Mester, and D. Suter (Eds.).
Statistical Methods in Video Processing, Lecture Notes in Computer Science, vol 3247, Springer, Berlin, 2005.

54
K. Schindler and D. Suter.
Two-view multibody structure-and-motion with outliers.
In Proc. IEEE Conference in Computer Vision and Pattern Recognition, CVPR2005, volume 2, pages 676-683. IEEE, 2005.

55
P. Chen and D. Suter.
Subspace-based face recognition: Outlier detection and a new distance criterion.
Int. Journal Pattern Recognition and Artificial Intelligence, 19(4):479-493, 2005.

56
H. Wang and D. Suter.
Tracking and segmenting people with occlusions by a sample consensus based method.
In Proc. ICIP 2005, volume 2, pages 410-413, 2005.

57
H. Wang and D. Suter.
A re-evaluation of mixture-of-gaussian background modeling.
In Proc. ICASSP 2005, pages 1017-1020, 2005.

58
P. Tissainayagam and D. Suter.
Object tracking in image sequences using point features.
Pattern Recognition, 38(1):105-113, 2005.
pdf.gif ps.gif.

59
James U and D. Suter.
Using synchronised firewire cameras for multiple viewpoint digital video capture.
Technical Report MECSE-16-2004, Monash University, Clayton 3800, Australia, 2004.
pdf.gif.

60
James Cheong and D. Suter.
A study on anti-geometric diffusion for the segmentation of human knee cartilage.
Technical Report MECSE-15-2004, Monash University, Clayton 3800, Australia, 2004.
pdf.gif.

61
Hanzi Wang and D. Suter.
A re-evaluation of mixture-of-gaussian background modeling.
Technical Report MECSE-8-2004, Monash University, Clayton 3800, Australia, 2004.
pdf.gif.

62
Tat-Jun Chin and D. Suter.
A study of the illumination cones method for face recognition under variable illumination.
Technical Report MECSE-7-2004, Monash University, Clayton 3800, Australia, 2004.
pdf.gif.

63
Tat-Jun Chin and D. Suter.
A study of the eigenface approach for face recognition.
Technical Report MECSE-6-2004, Monash University, Clayton 3800, Australia, 2004.
pdf.gif.

64
Pei Chen and D. Suter.
An iterative approach to recovering the missing data in a large low-rank: Application to SFM.
Technical Report MECSE-3-2004, Monash University, Clayton 3800, Australia, 2004.
pdf.gif.

65
H. Wang and D. Suter.
Robust Adaptive-Scale Parametric Model Estimation for Computer Vision.
IEEE Trans. Pattern Analysis and Machine Intelligence, 26(11):1459-1479, November 2004.
pdf.gif ps.gif.

66
P. Chen and D. Suter.
Recovering the missing components in a large noisy low-rank matrix: Application to SFM.
IEEE Trans. Pattern Analysis and Machine Intelligence, 26(8):1051-1063, August 2004.
pdf.gif ps.gif.

67
H. Wang and D. Suter.
MDPE: A very robust estimator for model fitting and range image segmentation.
Int. J. of Computer Vision, 59(2):139-166, September 2004.
pdf.gif ps.gif.

68
P. Tissainayagam and D. Suter.
Assessing the performance of corner detectors for point feature tracking applications.
Image and Vision Computing, 22(8):663-679, August 2004.
pdf.gif.

69
H. Wang and D. Suter.
Robust fitting by adaptive-scale residual consensus.
In T. Pajdla and J. Matas, editors, Lecture Notes in Computer Science, Proceedings ECCV2004, volume 3023, pages 107-118, Heidelberg, 2004. Springer-Verlag.

70
P. Chen and D. Suter.
Subspace-based face recognition: outlier detection and a new distance criterion.
In Proceedings ACCV2004, pages 830-835, 2004.

71
D. Suter, K. Kanatani, and D. Comaniciu (Guest Editors).
Image and Vision Computing, vol. 22, no. 2, February 2004.

72
P. Chen and D. Suter.
Shift-invariant wavelet denoising using interscale dependency.
In ICIP-2004, Singapore, volume 2, pages 1005-1008, 2004.
pdf.gif ps.gif.

73
P. Chen and D. Suter.
Shift invariant wavelet denoising using interscale dependency.
Technical Report MECSE-2-2004, Monash University, Clayton 3800, Australia, 2004.
pdf.gif.

74
E. Beets, S.Boukir, and D. Suter.
Aircraft pose estimation from homography.
Technical Report MECSE-1-2004, Monash University, Clayton 3800, Australia, 2004.
pdf.gif.

75
D. Suter D. Tung and A. Bab-Hadiashar.
Aircraft approach angle estimation: Vision based landing.
Technical Report MECSE-28-2003, Monash University, Clayton 3800, Australia, 2003.
pdf.gif.

76
H. Wang and D. Suter.
False-peaks-avoiding mean shift method for unsupervised peak-valley sliding image segmentation.
In Proceedings 7th International Conference on Digital Image Computing: Techniques and Applications (DICTA'03), Sydney, pages 581-590, 2003.
pdf.gif.

77
H. Wang and D. Suter.
Color image segmentation using global information and local homogeneity.
In Proceedings 7th International Conference on Digital Image Computing: Techniques and Applications (DICTA'03), Sydney, pages 89-98, 2003.
pdf.gif.

78
P.Chen and D. Suter.
Recovering the missing components in a large noisy low-rank matrix: Application to sfm.
Technical Report MECSE-25-2003, Monash University, Clayton 3800, Australia, 2003.
pdf.gif.

79
M. Gubara and D. Suter.
Ascale invariant object detector: An implementation for license plate detection.
Technical Report MECSE-9-2003, Monash University, Clayton 3800, Australia, 2003.
pdf.gif.

80
H. Wang and D. Suter.
ASSC a new robust estimator for data with multiple structures.
Technical Report MECSE-8-2003, Monash University, Clayton 3800, Australia, 2003.
pdf.gif.

81
D. Suter, P. Chen, and H. Wang.
Extracting motion from images: Robust optic flow and structure from motion.
In Proceedings Australia-Japan Advanced Workshop on Compter Vision, 9-11 Sept. 2003, Adelaide, Australia, pages 64-69, 2003.
pdf.gif.

82
H. Wang and D. Suter.
A model-based range image segmentation algorithm using a novel robust estimator.
In 3rd Int'l Workshop on Statistical and Computational Theories of Vision (in conjunction with ICCV'03), Nice, France, October 2003.
pdf.gif.

83
P. Chen and D. Suter.
An analysis of linear subspace approaches for computer vision and pattern recognition.
Technical Report MECSE-6-2003, Monash University, Clayton 3800, Australia, 2003.
pdf.gif.

84
P. Chen and D. Suter.
Subspace-based face recognition: outlier detection and a new distance criterion.
Technical Report MECSE-5-2003, Monash University, Clayton 3800, Australia, 2003.
pdf.gif.

85
H. Wang and D. Suter.
MDPE: A very robust estimator for model fitting and range image segmentation.
Technical Report MECSE-3-2003, Monash University, Clayton 3800, Australia, 2003.
pdf.gif.

86
H. Wang and D. Suter.
Robust scale estimation from true parameters of model.
Technical Report MECSE-2-2003, Monash University, Clayton 3800, Australia, 2003.
pdf.gif.

87
H. Wang and D. Suter.
False-peaks-avoiding mean shift method for unsupervised peak-valley sliding image segmentation.
Technical Report MECSE-1-2003, Monash University, Clayton 3800, Australia, 2003.
pdf.gif.

88
H. Wang and D. Suter.
Using symmetry in robust model fitting.
Pattern Recognition Letters, 24(16):2953-2966, 2003.

89
H. Wang and D. Suter.
Variable bandwidth QMDPE and its application in robust optic flow estimation.
In Proceedings ICCV03, International Conference on Computer Vision, Nice, France, pages 178-183, 2003.
pdf.gif.

90
D. Suter and H. Wang.
Robust fitting using mean shift: applications in computer vision.
In ICORS2003: International Conference on Robust Statistics, Antwerp, Belguim, (abstract only), 2003.
pdf.gif.

91
D. Suter and H. Wang.
Robust fitting using mean shift: applications in computer vision.
In M. Hubert, G. Pison, A. Struyf, and S. Van Aelst, editors, Theory and Applications of Recent Robust Methods, Statistics for Industry and Technology, pages 307-318. Birkhauser, Basel, 2004.
pdf.gif.

92
P. Tissainayagam and D. Suter.
Contour tracking with automatic motion model switching.
Pattern Recognition, 36(10):2411-2427, October 2003.

93
H. Wang and D. Suter.
A novel robust method for large numbers of gross errors.
In Proceedings ICARCV2002, pages 326-331, 2002.
pdf.gif.

94
H. Wang and D. Suter.
LTSD: A highly efficient symmetry-based robust estimator.
In Proceedings ICARCV2002, pages 332-337, 2002.
pdf.gif.

95
P. Chen and D. Suter.
A simple pixel-adaptive Bayesian approach to image denoising using wavelet interscale dependency.
Technical Report MECSE-1-2002, Monash University, Clayton 3800, Australia, 2002.
pdf.gif.

96
D. Suter, T. Hamel, and R. Mahony.
Visual servoing based on homography estimation for the stabilization of an x4-flyer.
In Proceedings 41st IEEE Conference on Decision and Control (CDC), volume 3, pages 2872-2877, 2002.
pdf.gif ps.gif.

97
P. Tissainayagam and D. Suter.
Performance measures for assessing contour trackers.
International Journal of Image and Graphics, 2:343-359, April 2002.
pdf.gif ps.gif.

98
A. Bab-Hadiashar, N. Gheissari, and D. Suter.
Robust model based motion segmentation.
In R. Kasturi, D. Laurendeau, and G. Suen, editors, Proceedings of ICPR2002, volume 2, pages 753-757, 2002.
pdf.gif ps.gif.

99
S. Boukir and D. Suter.
Application of rigid motion geometry to film restoration.
In Proceedings of ICPR2002, volume 6, pages 360-364, 2002.
pdf.gif ps.gif.

100
A. Bab-Hadiashar, D. Suter, and R. Hesami.
Robust fitting for pattern recognition.
In Proceedings of 6th Digital Image Computing: Techniques and Applications (DICTA2002) conference, pages 358-363, 2002.
pdf.gif.

101
F. Chen and D. Suter.
Motion estimation for noise reduction in historical films: Mpeg encoding effects.
In Proceedings of 6th Digital Image Computing: Techniques and Applications (DICTA2002) conference, pages 207-212, 2002.
pdf.gif.

102
P. Tissainayagam and D. Suter.
Performance measures for assessing contour trackers.
In Proceedings of 5th Asian Conference on Computer Vision (ACCV2002), pages 314-319, 2002.
pdf.gif.

103
D. Suter (Guest Editor).
International Journal of Image and Graphics, vol. 2, no. 2, April 2002.

104
D. Suter (Ed.).
Proceedings of Statistical Methods in Video Processing workshop, 2002.

105
D. Suter and A. Bab-Hadiashar (Eds.).
Proceedings of the Fifth Asian Conference on Computer Vision, 2002.

106
D. Suter and A. Bab-Hadiashar (Eds.).
Proceedings of the Sixth Digital Image Computing: Techniques and Applications conference, 2002.

107
P. Tissainayagam and D. Suter.
Empirical evaluation on the performance of contour trackers.
In Proc., Third Workshop on Empirical Evaluation Methods in Computer Vision Hawaii, USA, 2001.

108
P. Tissainayagam and D. Suter.
Visual tracking with automatic motion model switching.
Pattern Recognition, 34:641-660, 2001.

109
H. Wang, A. Bab-Hadiashar, S. Boukir, and D. Suter.
Outlier rejection based on repeated medians.
Technical Report MECSE-1-2001, Monash University, Clayton 3800, Australia, 2001.

110
F. Chen and D. Suter.
Motion estimation for noise reduction in historical film restoration.
Technical Report MECSE-2000-02, Monash University, Clayton 3800, Australia, 2000.
pdf.gif ps.gif.

111
P. Tissainayagam and D. Suter.
Performance prediction analysis of linear point feature trackers based on different motion models.
Computer Vision and Image Understanding, 84(1):104-125, October 2001.
pdf.gif ps.gif.

112
P. Tissainayagam and D. Suter.
Visual tracking of multiple objects with automatic motion model switching.
In ICPR'2000, Barcelona, Spain, pages 1146-1149, 2000.

113
D. Suter and F. Chen.
Left ventricular motion reconstruction based on elastic vector splines.
IEEE Trans. Medical Imaging, pages 295-305, 2000.
html.gif pdf.gif ps.gif.

114
A. Bab-Hadiashar and D. Suter, editors.
Data Segmentation and Model Selection for Computer Vision.
Springer-Verlag, 2000.

115
A. Bab-Hadiashar and D. Suter.
Range and motion segmentation.
In A. Bab-Hadiashar and D. Suter, editors, Data Segmentation and Model Selection for Computer Vision, chapter 5, pages 119-142. Springer-Verlag, 2000.

116
A. Bab-Hadiashar and D. Suter.
Simultaneous model recovery and segmentation for range image analysis.
In ACCV2000, Taipei, Taiwan, pages 467-471, 2000.

117
A. Bab-Hadiashar and D. Suter.
Outlier resistant GAIC based visual data segmentation.
In ACCV2000, Taipei, Taiwan, pages 1174-1179, 2000.

118
P. Tissainayagam and D. Suter.
Performance analysis of contour trackers.
Technical Report MECSE-2000-1, Monash University, Clayton 3168, Australia, 2000.

119
F. Chen and D. Suter.
Div-curl vector quasi-interpolation on a finite domain.
Mathematical and Computer Modelling, 30(2):179-204, 1999.
pdf.gif ps.gif.

120
A. Bab-Hadiashar and D. Suter.
Robust segmentation of visual data using ranked unbiased scale estimate.
ROBOTICA, International Journal of Information, Education and Research in Robotics and Artificial Intelligence, 17:649-660, 1999.

121
A. Bab-Hadiashar and D. Suter.
Simultaneous model recovery and segmentation using visual data.
In DICTA'99, Perth, Australia, pages 241-246, 1999.

122
P. Tissainayagam and D. Suter.
Contour tracking in image sequences.
In DICTA'99, Perth, Australia, pages 110-115, 1999.

123
P. Tissainayagam and D. Suter.
Performance of visual tracking algorithms.
In DICTA'99, Perth, Australia, pages 206-211, 1999.

124
A. Bab-Hadiashar and D. Suter.
Outlier resistant GAIC based image data segmentation.
Technical Report MECSE-99-1, Monash University, Clayton 3168, Australia, 1999.

125
P. Tissainayagam and D. Suter.
Performance prediction and analysis for linear visual trackers.
In Irish Machine Vision and Image Processing Conference IMVIP'99, pages 131-147, 1999.

126
P. Tissainayagam and D. Suter.
Efficient contour tracking in extended image sequences.
Technical Report MECSE-99-2, Monash University, Clayton 3168, Australia, 1999.

127
P. Tissainayagam and D. Suter.
Tracking objects in image sequences.
Technical Report MECSE-98-5, Monash University, Clayton 3168, Australia, 1998.

128
P. Tissainayagam and D. Suter.
Variable motion determination and tracking using the IMM algorithm.
Technical Report MECSE-98-4, Monash University, Clayton 3168, Australia, 1998.

129
A Bab-Hadiashar and D. Suter.
Motion segmentation: A robust approach.
In Proceedings of Interpretation of Visual Motion Workshop, pages 3-9, 1998.

130
A Bab-Hadiashar and D. Suter.
Robust range segmentation.
In 14th International Conference on Pattern Recognition - ICPR'98, volume 2, pages 969-971, 1998.

131
A. Bab-Hadiashar and D. Suter.
Robust optic flow computation.
International Journal of Computer Vision, 29(1):59-77, August 1998.
pdf.gif.

132
A. Bab-Hadiashar and D. Suter.
Robust motion segmentation using rank ordering estimators.
In Lecture Notes in Computer Science: 1352, Proceedings ACCV'98, Hong Kong, volume 2, pages 599-606, 1998.

133
A. Bab-Hadiashar and D. Suter.
Robust total least squares based optic flow computation.
In Lecture Notes in Computer Science: 1352, Proceedings ACCV'98, Hong Kong, volume 1, pages 566-573, 1998.

134
F. Chen and D. Suter.
Fast evaluation of vector splines in three dimensions.
Journal of Computing, 61(3):189-213, 1998.
pdf.gif ps.gif.

135
F. Chen and D. Suter.
Multiscale image representation and edge detection.
In Lecture Notes in Computer Science: 1352, Proceedings ACCV'98, Hong Kong, volume 2, pages 49-56, 1998.

136
F. Chen and D. Suter.
Image coordinate transformation based on multiple order div-curl vector splines.
In 14th International Conference on Pattern Recognition - ICPR'98, volume 1, pages 518-520, 1998.
pdf.gif ps.gif.

137
F. Chen and D. Suter.
Using a fast multipole method to accelerate the evaluation of splines.
IEEE Computational Science and Engineering, 5(3):24-31, July-September 1998.
pdf.gif ps.gif.

138
P. Tissainayagam and D. Suter.
Visual tracking with multiple motion models.
In IAPR Machine Vision Applications (MVA'98), Chiba, Japan, pages 414-417, 1998.

139
P. Tissainayagam and D. Suter.
Visual tracking and motion determination using the IMM algorithm.
In 14th International Conference on Pattern Recognition - ICPR'98, volume 1, pages 289-291, 1998.

140
P. Tissainayagam and D. Suter.
Performance analysis of point-feature trackers.
Technical Report MECSE-98-6, Monash University, Clayton 3168, Australia, 1998.

141
P. Tissainayagam and D. Suter.
Visual feature tracking with automatic motion model selection.
In Proc., JCIS, N.C. USA , Nov. 1998, pages 322-325, 1998.

142
P. Tissainayagam and D. Suter.
Object tracking in image sequences using multiple hypothesis approach.
In Proc., JCIS, N.C. USA , Nov. 1998, pages 473-475, 1998.

143
P. Tissainayagam and D. Suter.
Performance analysis of corner detectors for tracking features in image sequences.
Technical Report MECSE-97-3, Monash University, Clayton 3168, Australia, 1997.

144
P. Tissainayagam and D. Suter.
Motion model selection for visual feature tracking.
Technical Report MECSE-97-4, Monash University, Clayton 3168, Australia, 1997.

145
P. Tissainayagam and D. Suter.
Comparison of corner detectors for tracking features in image sequences.
In H. Pan, M. Brooks, D. McMichael, and G. Newsam, editors, Proc., IAIF'97, Adelaide, Nov. 1997, pages 171-181, 1997.

146
A. Bab-Hadiashar and D. Suter.
Motion based segmentation using robust statistics.
In H. Pan, M. Brooks, D. McMichael, and G. Newsam, editors, Proc., IAIF'97, Adelaide, Nov. 1997, pages 271-280, 1997.

147
F. Chen and D. Suter.
Fast evaluation of vector splines in two dimensions.
In A. Sydow, editor, Proc. 15th IMACS'97 World Conference on Scientific Computation, Modelling and Applied Mathematics, Berlin, August 1997, volume 1, pages 469-474. Wissenschaft & Technik Verlag, 1997.

148
F. Chen and D. Suter.
Surface reconstruction using multiple order Laplacian splines.
In Proc. The 33rd Australian Applied Mathematics Conference, Lorne, Victoria, 1997.
(abstract).

149
D. Suter.
Visual reconstruction and data fusion.
In O. M. Omidvar, editor, Progress in Neural Networks, volume 4: Machine Vision, chapter 2, pages 29-76. Ablex, Greenwich, Connecticut, 1997.

150
D. Suter.
emerge report: Film restoration and processing, June 1997.
html.gif pdf.gif ps.gif.

151
A. Bab-Hadiashar and D. Suter.
Optic flow calculation using robust statistics.
In Proceedings of CVPR97, Puerto Rico, pages 988-993, New York, June 1997. IEEE.
pdf.gif ps.gif.

152
F. Chen and D. Suter.
Fast evaluation of vector splines in three dimensions.
Technical Report MECSE-97-6, Monash University, Clayton 3168, Australia, June 1997.

153
F. Chen and D. Suter.
Elastic spline models for human cardiac motion estimation.
In Proceedings of IEEE Non-rigid and Articulated Motion Workshop, June 16, 1997, Puerto Rico, pages 120-127, New York, June 1997. IEEE.

154
D. Suter.
Geometric motion constraints for different camera models and for continuous and discrete motion: Rigid motion.
Technical Report MECSE-1997-5, Monash University, Clayton 3168, Australia, December 1997.
pdf.gif ps.gif.

155
A. Bab-Hadiashar and D. Suter.
Practical insights on different flavours of rank ordering robust estimators.
Technical Report MECSE-96-11, Monash University, Clayton 3168, Australia, November 1996.

156
A. Bab-Hadiashar and D. Suter.
Motion segmentation using robust motion estimation.
In Proceedings Image Segmentation Workshop 1996, Sydney, pages 7-11. The Australian Pattern Recognition Society, 1996.

157
F. Chen and D. Suter.
Modelling and segmentation using Laplacian splines and radial baisis functions.
In Proceedings Image Segmentation Workshop 1996, Sydney, pages 115-119. The Australian Pattern Recognition Society, 1996.

158
D. Suter.
Motion estimation: Historical film restoration and coding, January 1996.
The Second Workshop on Perceptive Systems 25-26 Jan., Curtin Uni. of Technology, Aust.

159
A. Bab-Hadiashar and D. Suter.
Robust optic flow estimation using least median of squares.
In Proc. ICIP, Lausanne, Switzerland, Sept. 1996, pages 513-516, 1996.
pdf.gif ps.gif.

160
A. Bab-Hadiashar, D. Suter, and R. Jarvis.
Image interpolation based optic flow technique.
Technical Report MECSE-96-1, Monash University, Clayton 3168, Australia, June 1996.
pdf.gif ps.gif.

161
A. Bab-Hadiashar and D. Suter.
Motion estimation using robust statistics.
Technical Report MECSE-96-4, Monash University, Clayton 3168, Australia, June 1996.
pdf.gif ps.gif.

162
A. Bab-Hadiashar and D. Suter.
A robust total least squares estimator and its application in optic flow computation.
Technical Report MECSE-96-9, Monash University, Clayton 3168, Australia, August 1996.

163
F. Chen and D. Suter.
Multiple order Laplacian splines - including splines with tension.
Technical Report MECSE-96-5, Monash University, Clayton 3168, Australia, June 1996.
pdf.gif ps.gif.

164
F. Chen and D. Suter.
Fast evaluation of vector splines in two dimensions.
Technical Report MECSE-96-8, Monash University, Clayton 3168, Australia, June 1996.
pdf.gif ps.gif.

165
D. Suter and P. S. Richardson.
Historical film restoration and video coding.
In Proceedings of PCS'96, Melbourne, Aust, March 1996, pages 389-394, 1996.
pdf.gif ps.gif.

166
A. Bab-Hadiashar, D. Suter, and R. Jarvis.
Optic flow computation using interpolating thin-plate splines.
In Proceedings ACCV'95 Second Asian Conference on Computer Vision, volume III, pages 452-456, 1995.
pdf.gif ps.gif.

167
A. Bab-Hadiashar, D. Suter, and R. Jarvis.
Two-dimensional motion extraction using image interpolation technique.
In A. G. Tescher, editor, Applications of Digital Image processing XVIII, San Diego, July 1995, pages 271-281. SPIE, 1995.
pdf.gif ps.gif.

168
P. S. Richardson and D. Suter.
Restoration of historical film for digital compression: A case study.
In Proceedings of ICIP-95, Washington D.C., Oct. 1995, pages II 49-52. IEEE, 1995.

169
D. Suter.
Divergence-free wavelets made easy.
In A. F. Laine, editor, Wavelet Applications in Signal and Image Processing III, San Diego, July 1995, pages 102-115. SPIE, 1995.
pdf.gif ps.gif.

170
Y. Wu and D. Suter.
Noisy image sequence registration and segmentation.
In Proceedings of Second Asian Conference on Computer Vision, ACCV'95, pages 1533-1537, Singapore, December 1995.

171
Y. Wu and D. Suter.
Historical film processing.
In A. G. Tescher, editor, Applications of Digital Image processing XVIII, San Diego, July 1995, pages 289-300. SPIE, 1995.

172
D. Suter.
Motion estimation and vector splines.
In Proc. CVPR'94, Seattle WA, pages 939-942. IEEE, June 1994.
pdf.gif ps.gif.

173
D. Suter.
Divergence-free wavelets made easy.
Technical Report MECSE-94-2, Monash University, Clayton 3168, Australia, April 1994.
pdf.gif ps.gif.

174
D. Suter.
Fast evaluation of splines using Poisson formula.
International Journal of Scientific Computing and Modeling, 1(1):70-87, 1994.
pdf.gif ps.gif.

175
D. Suter.
Mixed-finite element based motion estimation.
Innovation and Technology in Biology and Medicine, 15(3):292-307, 1994.

176
D. Suter.
Thin-plate splines in computer vision.
In Proceedings of Australasian Workshop on Thin-plate Splines, Sydney, February 1994.

177
D. Suter.
Multipole methods in visual reconstruction.
In B. C. Vemuri, editor, Geometric Methods in Computer Vision II, San Diego, July 1993, pages 16-26. SPIE, 1993.

178
D. Suter.
Mixed finite elements and whitney forms in visual reconstruction.
In B. C. Vemuri, editor, Geometric Methods in Computer Vision II, San Diego, July 1993, pages 51-62. SPIE, 1993.

179
D. Suter.
Evaluation of splines using multipole-like methods.
In Proc. 29th Applied mathematics Conference, page C66, Adelaide, February 1993. Australian Mathematical Society, Division of Applied Mathematics.

180
D. Suter.
Mixed finite element based neural networks in visual reconstruction.
Int. Journal. of Pattern Recognition and Artificial Intelligence, 6(1):113-129, April 1992.

181
D. Suter.
Vector spline and mixed finite element methods in motion analysis.
Technical Report 2/92, La Trobe University, Bundoora 3083, Australia, January 1992.

182
D. Suter.
Coupled derivative/mixed finite element approach to visual reconstruction.
In A. K. Pani and R. S. Anderssen, editors, Mini Conference on Inverse Problems in Partial Differential Equations, volume 31, pages 222-246, Canberra, Australia, 1992. Australian National University, Centre for Mathematical Analysis.

183
D. Suter.
Efficient recovery of ``time to crash'' and rotation from optic flow.
In ICARCV-92 2nd International Conference on Automation, Robotics and Computer Vision, volume 1, pages CV11.4.1-CV11.4.5, Singapore, September 1992. Institution of Engineers, Singapore.

184
D. Suter.
Vector spline and radial basis function methods in visual motion analysis.
In Advances in Computer Methods for Partial Differential Equations - VII, pages 714-720, Brunswick, New Jersey, June 1992. IMACS.

185
D. Suter.
Fast evaluation of multipoles without multipoles.
Technical Report MECSE-92-1, Monash University, Clayton 3168, Australia, October 1992.
pdf.gif ps.gif.

186
D. Mansor and D. Suter.
An analogue circuit for first order regularization.
Technical Report 2/91, La trobe University, Bundoora 3083, Australia, March 1991.

187
J. N. H. Garwoli and D. Suter.
Multi-Media and Image Compression with IFS and Wavelets.
In 1st Australian Multi-Media Communications Applications and Technology Workshop, pages 223-228, 1991.

188
D. Mansor and D. Suter.
Implementation of visual reconstruction networks - alternatives to resistive networks.
In Proc. Int. Joint. Conf. on Neural Networks (IJCNN'91 - Singapore), pages 1898-1905, November 1991.

189
D. Suter.
Mixed finite element methods in motion analysis.
In DICTA-91 Digital Image Computing: Techniques and Applications, pages 397-404, Melbourne, Australia, December 1991. Australian Pattern Recognition Society.

190
D. Suter.
Constraint networks in vision.
IEEE Transactions on Computers, 40(12):1359-1367, December 1991.

191
D. Suter.
Generalization of ``coupled depth-slope'' analog visual reconstruction networks.
In Proceedings of IJCNN-91-Seattle, pages I 729-739, Seattle, July 1991.

192
D. Suter.
Mixed finite element and neural network methods of visual reconstruction.
In 13th IMACS World Congress on Computation and Applied Mathematics, volume 4, pages 1946-1949, Dublin, July 1991.

193
D. Suter.
Coupled depth-slope model based upon augmented Lagrangian techniques.
In B. C. Vemuri, editor, Geometric Methods in Computer Vision, volume 1570, pages 129-139. SPIE, 1991.

194
D. Suter and H. A. Cohen.
Incorporating knowledge via regularization theory: applications in vision and image processing.
In C. J. Barter and M. J. Brooks, editors, Lecture Notes in Computer Science, AI'88, 2nd Australian Joint Artificial Intelligence Conference, Adelaide, Australia, Nov. 1988 Proceedings, volume 406 of Lecture Notes in Computer Science, pages 379-394, Berlin, 1990. Springer Verlag.

195
D. Suter.
Inverse problems in machine vision.
In W. L. Hogarth and B. J. Noye, editors, Computational Techniques and Applications, pages 509-516. Hemisphere, New York, 1990.

196
X. Deng, T. Dillon, K. Lew, J. Rankin, E. Smith, and D. Suter.
Optimal topologies of transputers for different classes of problems.
Comp. Syst. Sci. and Eng., 5(1):36-41, 1990.

197
D. Suter.
Mixed finite element formulation of problems in visual reconstruction.
Technical Report 2/90, La Trobe University, Department of Computer Science, Bundoora, 3083, Aust., January 1990.

198
D. Suter.
Geiger-girosi mean field algorithm for edge detection.
Technical Report 1/90, La Trobe University, Department of Computer Science, Bundoora, 3083, Aust., January 1990.

199
D. Suter.
Parallel event driven simulation.
In 9th Aust. Microelectronics Conference, pages 211-213, July 1990.

200
D. Suter.
Co-operative Algorithms for Machine Vision: Models, problem Formulation, and Neural Network Implementations.
PhD thesis, Dept. of Comp. Sci. and Comp. Eng., La Trobe University, Bundoora 3083, Aust., August 1990.

201
D. Suter.
Inference in visual reconstruction.
In Proc. AI'89, Melbourne, Australia, pages 58-67, 1989.

202
D. Suter.
A new optimization method: applications in interpolation and computer vision.
In Proc. ACSC-12, Wollongong, Aust., pages 305-316, Feb. 1989.

203
D. Suter.
Analog signal processing: Applications in computer vision.
In Proc. 1989 Aust. Symp. on Signal Processing and Applications, Adelaide, pages 236-239, April 1989.

204
D. Suter.
Transputer based stereo vision system.
In Proc. Australian Transputer and OCCAM User Group, Melb. Aust., pages 5-10, June 1989.

205
D. Suter.
Inference in low level vision, September 1989.
(abstract) 1989 Robertson Symposium, 19-24 Sept., ANU, Canberra, Aust., Research School of Biological Sciences and Centre for Visual Sciences, ANU.

206
D. Suter and X. Deng.
Neural net simulation on transputers.
In Proc. IEEE Systems, Man, and Cybernetics Conf., Beijing, pages 694-697, Aug. 1988.

207
D. Suter and X. Deng.
Neural net simulation on transputers.
In Proc. Australian Transputer and OCCAM User Group, Melb. Aust., pages 43-48, June 1988.

208
D. Suter.
Neural net surface interpolation.
In Proc. 1987 Int'l. Conf. Systems, Man, and Cybernetics, Alexandria, VA, pages 118-123, Oct. 1987.

209
D. Suter and H. A. Cohen.
Modelling of texture perception.
In Proc. Int'l. Conf. Modelling and Simulation, Melb. Aust., pages 430-435, Oct. 1987.

210
D. Suter and H. A. Cohen.
Fractals: Representations for visual recognition and for graphics.
In Ausgraph 87, Perth Aust., page 25 pages, May 1987.

211
D. Suter.
Planning in machine vision tasks.
In Proc. 1st Australian Artificial Intelligence Congress, Melb. Aust., page 19 pages in Section E (Robotics), Nov. 1986.

About this document ...

Publications - D. Suter

This document was generated using the LaTeX2HTML translator Version 2002-2-1 (1.70)

Copyright © 1993, 1994, 1995, 1996, Nikos Drakos, Computer Based Learning Unit, University of Leeds.
Copyright © 1997, 1998, 1999, Ross Moore, Mathematics Department, Macquarie University, Sydney.

The command line arguments were:
latex2html -nonavigation -split 0 -nosubdir suter_publications

The translation was initiated by David Suter on 2007-11-21


Prepared by D. Suter, Dept. Elect. and Comp. Syst,es Engineering, Monash University, Clayton 3800, Australia
2007-11-21