DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
UNIVERSITY OF CALIFORNIA, SAN DIEGO

CSE 252C: Selected Topics in Vision & Learning

List of Suggested Papers


Most of these papers can be located on the web, e.g. through CiteSeer, Google, or INSPEC (UC only). If the links provided below don't work, please try one of these three options before giving up. (Or, you can get some fresh air and walk to the actual library...) Participants in the seminar should feel free to propose worthwhile papers that don't appear here.

S. Sarkar and K. L. Boyer, Quantitative Measures of Change based on Feature Organization: Eigenvalues and Eigenvectors in Computer Vision and Image Understanding, vol. 71, no. 1, pp. 110-136, July 1998.

A. Amir and M. Lindenbaum. A generic grouping algorithm and its quantitative analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20:168--185, 1998.

Y. Zhang and C. Kambhamettu, Stereo Matching with Segmentation-Based Cooperation. ECCV 2002.

Hai Tao, Harpreet S. Sawhney, and Rakesh Kumar, A global matching framework for stereo computation, in Proc. IEEE International Conf. on Computer Vision, ICCV'01, 2001.

Irani, M.; Anandan, P. A unified approach to moving object detection in 2D and 3D scenes. Pattern Analysis and Machine Intelligence, IEEE Transactions on , Volume: 20 Issue: 6 , June 1998 Page(s): 577 -589

Zitnick, C.L.; Kanade, T. A cooperative algorithm for stereo matching and occlusion detection Pattern Analysis and Machine Intelligence, IEEE Transactions on , Volume: 22 Issue: 7 , July 2000 Page(s): 675 -684.

F. Schaffalitzky and A. Zisserman. Viewpoint invariant texture matching and wide baseline stereo. In Proc. ICCV, Jul 2001.

Beardsley,P.;Torr,P.;Zisserman,A. 3D Model Aquisition from Extended Image Sequences (extended version), 4th European Conf. on Computer Vision, Lecture Notes in Computer Science vol.1065.

Bergen,J.R.;Anandan,P. et al. Hierarchical Model-Based Motion Estimation, ECCV '92, Lecture Notes in Computer Science vol.588.

Faugeras,O. What Can be Seen in Three Dimensions with an Uncalibrated Stereo Rig, ECCV '92 Lecture Notes in Computer Science vol.588, pgs.563-578.

D.A. Forsyth, A Novel Algorithm for Color Constancy, International Journal of Computer Vision, 5(1) 5-36, July, 1990..

Koenderink, J.J.; Van Doorn, A.J. Affine Structure from Motion, J. of the Optical Society of America A vol.8, no.2, pgs.377-385.

A. Baumberg. Reliable feature matching across widely separated views. In Proc. CVPR, pages 774--781, 2000.

Weiss, Y. Smoothness in layers: Motion segmentation using nonparametric mixture estimation. Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, 17-19 June 1997.

D.A. Forsyth, J. Haddon, S. Ioffe, The Joy of Sampling, International Journal of Computer Vision 41 (1-2): 109-134, January - February, 2001.

Jitendra Malik, Interpreting Line Drawings of Curved Objects, IJCV-1, No. 1, pp.73-103, 1987.

J. Shi and C. Tomasi. Good features to track. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'94), pages 593--600, IEEE Computer Society, Seattle, Washington, June 1994.

Hager, G.D.; Belhumeur, P.N. Efficient region tracking with parametric models of geometry and illumination, Pattern Analysis and Machine Intelligence, IEEE Transactions on , Volume: 20 Issue: 10 , Oct. 1998 Page(s): 1025 -1039

Thomas Hofmann, Unsupervised Learning by Probabilistic Latent Semantic Analysis Machine Learning Journal, 42(1), 2001, pp.177.196

S. Ullman and R. Basri, Recognition by Linear Combinations of Models. IEEE Trans. on Pattern Analysis and Machine Intelligence, 13(10):992--1006, October 1991.

S. Ullman, The Interpretation of Structure from Motion, Proceedings of the Royal Society of London. Series B, Biological Sciences, Vol. 203, No. 1153. (Jan. 15, 1979), pp. 405-426.

Jan Koenderink, What is a `feature'?, Journal of Intelligent Systems, 3, 49-82 (1993).

D. Cremers, T. Kohlberger, C. Schnörr, Nonlinear Shape Statistics in Mumford-Shah Based Segmentation, P. Johansen (Ed.), European Conf. on Computer Vision (ECCV), Copenhagen, June 2002, Springer LNCS.

R. Kannan, S. Vempala and A. Vetta, On clusterings: good, bad and spectral. Proc. of the 41st Foundations of Computer Science (FOCS '00), 2000.

F. Heitger and R. von der Heydt. A computational model of neural contour processing: Figure-ground segregation and illusory contours. In International Conference on Computer Vision, pages 32--40, 1993.

L.R. Williams and D.W. Jacobs. Local parallel computation of stochastic completion fields. Neural Computation, 9(4), May 1997.

L.R. Williams and A.R. Hanson. Perceptual completion of occluded surfaces. In IEEE Computer Vision and Pattern Recognition, pages 104--112, 1994.

D. Geiger and K. Kumaran. Visual organization of illusory surfaces. In European Conference on Computer Vision, pages I:413--424, 1996.

C.J. Taylor and D. Kriegman. "Structure and motion from line segments in multiple images", IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 17 No. 11, pp 1021-1033, November 1995

David MacKay. Introduction to Gaussian processes. Technical report, Cavendish Laboratories, Cambridge University, 1997.

Dennis Tell and Stefan Carlsson. Combining topology and appearance for wide baseline matching. European Conference on Computer Vision (ECCV), Copenhagen, Denmark 2002.

G. Mori and J. Malik, Estimating Human Body Configurations using Shape Context Matching ECCV2002.

J. Sullivan and S. Carlsson, Recognizing and Tracking Human Action Proc 7:th European Conference on Computer Vision (ECCV), Copenhagen, Denmark 2002.

Torr & Davidson, IMPSAC: A synthesis of importance sampling and random sample consensus to effect multi-scale image matching for small and wide baselines, ECCV2000.

P.H.S. Torr, Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting, International Journal of Computer Vision 50(1): 35-61; Oct 2002

Michal Irani and P. Anandan, A unified approach to moving object detection in 2D and 3D scenes, Pattern Analysis and Machine Intelligence, IEEE Transactions on, Volume: 20 Issue: 6, June 1998, Page(s): 577-589.

Lindeberg and ter Haar Romeny, Linear scale-space: I. Basic theory, II. Early visual operations, in: Geometry-Driven Diffusion in Computer Vision, (ter Haar Romeny, ed.) Kluwer Academic Publishers, Series in Mathematical Imaging and Vision, Dordrecht, Netherlands, 1--77, 1994.

Christopher K. I. Williams On a Connection between Kernel PCA and Metric Multidimensional Scaling Advances in Neural Information Processing Systems 13 eds. T. K. Leen, T. G. Diettrich, V. Tresp. MIT Press (2001)

Amit, Y.; Geman, D.; Wilder, K. Joint induction of shape features and tree classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, Nov. 1997, vol.19, (no.11):1300-5.

Amit, Y.; Geman, D. Shape quantization and recognition with randomized trees. Neural Computation, 1 Oct. 1997, vol.9, (no.7):1545-88.

Cootes, T.F.; Edwards, G.J.; Taylor, C.J. Active appearance models. IEEE Transactions on Pattern Analysis and Machine Intelligence, June 2001, vol.23, (no.6):681-5.

Michael Isard and Andrew Blake CONDENSATION -- conditional density propagation for visual tracking Int. J. Computer Vision, 29, 1, 5--28, (1998)

Lee, D.D.; Seung, H.S. Learning the parts of objects by non-negative matrix factorization. Nature, vol.401, (no.6755), Macmillan Magazines, 21 Oct. 1999. p.788-91.

Anthony J. Bell and Terrence J. Sejnowski, The "Independent Components" of Natural Scenes are Edge Filters, Vision Research, Volume 37, Issue 23, December 1997, Pages 3327-3338.

M.J.D. Powell, A Thin Plate Spline Method for Mapping Curves into Curves in Two Dimensions, Computational Techniques and Applications (CTAC '95), 1995.

Max Wertheimer, Laws of Organization in Perceptual Forms, first published as Untersuchungen zur Lehre von der Gestalt II, in Psycologische Forschung, 4, 301-350. Translation published in Ellis, W. (1938). A source book of Gestalt psychology (pp. 71-88). London: Routledge & Kegan Paul.

W. Förstner, A feature based correspondence algorithm for image matching, Intl. Arch. Photogrammetry and Remote Sensing, vol. 24, pp 160-166, 1986

G. Johansson, Visual motion perception, Scientific American, 232(6), pp. 75-88, June 1975.


Most recently updated on Nov. 14, 2002 by Serge Belongie.