CNS179/EE150/CS282 - Readings in visual recognition

List of papers

Also come here for materials supplemented in class

• Monday, Oct 15
• D. Lowe (Silvio Savarese)
• D.G. Lowe. Three-dimensional object recognition from single two-dimensional image. Artificial intelloigence 31(3)> 355-395, 1987. (pdf)
• Huttenlocher and Ullman (Silvio Savarese)
• D.P. Huttenlocher and S. Ullman. Recognizing solid objects by alignment with an image. IJCV 5(2): 195-212, 1990. (paper copy available)
• Ullman and Basri (Claudio Fanti (#1))
• S. Ullman and R. Basri. Recognition by linear-combinations of models. IEEE PAMI 13(10): 992-1006, 1991. (paper copy available)
• Wednesday, Oct 17
• Zisserman, Munday, Forsyth (Steven Schokolne)
• C. Rothwell, A. Zisserman, D. Forsyth and J. Mundy. Planar Object Recognition Using Projective Shape Representation. IJCV 16(2), 1995. (ps)
• C.A. Rothwell, D.A. Forsyth, A. Zisserman and J.L. Munday. Extracting projective structure from single perspective views of 3D point sets. IJCV 573-582., 1993. (pdf)

Week 4 (Week of Oct 22): Neural Networks and Support Vector Machines (I)

• Monday, Oct 22
• Hummel and Rigoutsos (Larry Matthies)
• I. Rigoutsos and R. Hummel. Massively parallel model-matching - geometric hashing on the connection machine computer. Computer 25(2): 33-42, 1992. (paper copy available)
• I. Rigoutsos and R. Hummel. A bayesian-approach to model-matching with geometric hashing. Comput Vis Image Und 62(1): 11-26, 1995. (paper copy available) (not required)
• Kanade et al. (Anelia Angelova (#1, #2))
• H. Rowley, S. Baluja and T. Kanade. Neural network-based face detection. PAMI 20(1): 23-38, 1998. (pdf)
• H. Schneiderman and T. Kanade. A statistical model for 3D object detection applied to faces and cars. CVPR 746-751, 2000. (ps)
• Wednesday, Oct 24
• Pontil et al. (Anil Hirani)
• M. Pontil and A. Verri. Support vector machines for 3D object recognition. IEEE PAMI 20(6): 637-646, 1998. (ps)
• Tutorial on SVM

Week 5 (Week of Oct 29): Neural Networks and Support Vector Machines (II)

• Monday, Oct 29
• Le Cun et al.(Pierre Moreels (#1, #2, #3))
• R.E. Howard, B. Boser, J.S. Denker, H.P. Graf, D. Henderson, W. Hubbard, L.D. Jackel, Y. Le Cun and H.S. Baird. Optical character recognition: a technology driver for neural networks. IEEE ISCS 2433-2436, 1990. (ps)
• Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-Based Learning Applied to Document Recognition. Proceedings of the IEEE 86(11): 2278-2324, 1998. (ps)
• P. Y. Simard, Y. LeCun, J. S. Denker, and B. Victorri. Transformation Invariance in Pattern Recognition -- Tangent Distance and Tangent Propagation. Int J Im Sys & Tech 11(3), 2000. (ps)
• Amit et al. (Claudio Fanti (#2, #3))
• Y. Amit, D. Geman and B. Jedynak. Efficient focusing and face detection. Face Recognition: From Theory to Application. 157-173, 1998. (ps)
• Y. Amit and D. Geman. A computational model for visual selection. Neural Computation 11(7): 1691-1715. 1999. (pdf)
• Wednesday, Oct 31 (guest speaker: Mel)
• Bartlett Mel
• B.W. Mel. SEEMORE:Combining color, shape, and texture histogramming in a neuraly-inspired approach to visual object recognition. Neural Computation, 9: 777-804, 1997. (pdf)
• Y. Amit, D. Geman and K. Wilder. Joint induction of shape features and tree classifiers. IEEE PAMI 1997. (ps)
• K. Tanaka. Mechanisms of visual object recognition: monkey and human studies. Curr Op Neurobio 7: 523--529, 1997.
• K. Fukushima and S. Miyake. Neocognitron: a new algorithm for pattern recognition tolerant of deformations and shifts in position. Pattern Recognition 15(6): 455-469, 1982.

Week 6 (Week of Nov 5): Parts and structure (I)

• Monday, Nov 5 (guest speaker: Lowe)
• D. Lowe 1999
• D.G. Lowe. Object recognition from local scale-invariant features. ICCV 1150--1157, 1999. (pdf)
• A.R. Pope and D.G. Lowe. Probabilistic model of appearance for 3-D object recognition. IJCV 40(2): 149-167, 2000. (pdf)
• Wednesday, Nov 7
• Fischler & Elschlager (Rob Fergus (#1))
• M. Fischler and R. Elschlager. The representation and matching of pictorial structures. IEEE Trans Comput C-22: 67-92. 1973. (paper copy available)
• A. Yuille 1992 et al. (Anelia Angelova (#3))
• A.L. Yuille. Deformable templates for face recognition. J Cog Neurocei 3(1): 59-70, 1991. (paper copy available)
• Schmid et al. ( Marzia Polito )
• C. Schmid. A structured probabilistic model for recognition. CVPR V2 485-490, 1999. (pdf)
• C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. IEEE PAMI 19(5): 530--534, 1997. (ps)

Week 7 ( week of Nov 12): Parts and structure (II)

• Monday, Nov 12
• Cootes et al. (Samuel Pfister)
• T.F. Cootes and C.J. Taylor. Locating objects of varying shape using statistical feature detectors. ECCV 465-474, 1996. (paper copy available)
• G.J. Edward, T.F. Cottes, and C.J. Taylor. Face recognition using active appearance models. Proc. 5th Europ Conf Comput Vision, H. Burkhardt and B. Neumann (Eds.), LNCS-Series Vol. 581-595, 1998.
• T.F. Cootes and C.J. Taylor. A mixture model for representing shape variation. Image Vision Comput 17(8): 567-573, 1999. (ps)
• Forsyth et al. (Rob Fergus (#2, #3))
• D.A. Forsyth and M.M. Fleck. Body plans. CVPR 678-683, 1997. (pdf)
• D.A. Forsyth and M.M. Fleck. Automatic detection of human nudes. IJCV 32(1): 63-77, 1999. (pdf)
• Wednesday, Nov 14
• von der Malsburg et al. (Anil Hirani and Pierre Moreels: joint presentation)
• M. Lades, J.C. Vorbruggen, J. Buhmann, J. Lange, C. von der Malsburg, R.P. Wurtz, and W. Konen. Distortion Invariant Object Recognition in the Dynamik Link Architecture. IEEE Transactions on Computers 42(3): 300-311 1993. (pdf)
• B. Manjunath, R. Chellappa, and C. von der Malsburg. A feature based approach to face recognition. IEEE Proceedings of Computer Vision and Pattern Recognition 373--378 1992. (pdf)
• Wiskott, L. and von der Malsburg, C. A neural system for the recognition of partially occluded objects in cluttered scenes. Int. J. of Pattern Recognition and Artificial Intelligence 7(4): 935--948 1993. (ps)
• K. Okada, J. Steffens, T. Maurer, H. Hong, E. Elagin, H. Neven, and C. von der Malsburg. The bochum/usc face recognition system and how it fared in the feret phase iii test. In Face Recognition: From Theory to Applications. SpringerVerlag, 1998.

Week 8 ( week of Nov 19): Overview of psychophysics

• Monday, Nov 19 (guest speaker: Irv Biederman)
• I. Biederman. Visual object recognition In S. M. Kosslyn and D. N. Osherson(Eds.). An Invitation to Cognitive Science, 2nd edition, Vol 2, Visual Cognition. MIT Press. Chapter 4, pp. 121-165.
• Wednesday, Nov 21
• Perona et al. (Pietro Perona)
• T.K. Leung, M.C. Burl and P. Perona. Probabilistic affine invariants for recognition. IEEE Comp Soc Conf on Comput Vision and Patt Recog 678-684, 1998. (ps)
• M. Weber, M. Welling and P. Perona. Unsupervised learning of models for recognition. in Proc. 6th Europ. Conf Comp. Vis., 18-32. 2000. (pdf)
• Psychophysics papers (Fei Fei Li (#2, #3))
• M. J. Tarr and H.H. Bulthoff. Is human object recognition better described by Geon structural description or by multiple views? Comment on Biederman and Herhardstein (1993) J. Exp. Psych. 21(6): 1494-1505, 1995. (paper copy available)
• N.K. Logothetis, J. Pauls, H.H. Bulthoff and T. Poggio. View-dependent object recognition by mondays Current Biology. 4(5): 401-414, 1994. (paper copy available)
• M.J. Tarr, P. Williams, W.G. Hayward and I. Gauthier. Three-demnsional object recognition is viewpoint dependent Nature Neuroscience 1(4): 275-277, 1998. (paper copy available)

Week 9 ( week of Nov 26): Overview of physiology

• Monday, Nov 26
• Malik et al. (Domitilla Del Vecchio)
• C. Carson, M. Thomas, S. Belongie, J. Hellerstein and J. Malik. Blobworld: a system for region-based image indexing and retrieval. Third Int Conf on Visual Info Sys 1999. (ps)
• S. Belongie, J. Malik and J. Puzicha. Matching shapes. ICCV 2001. (pdf)
• Wednesday, Nov 28
• Poggio et al. (Dirk Walther (#1, #2, #3))
• M. Riesenhuber and T. Poggio. Hierarchical models of object recognition in cortex. Nature Neuroscience 2, 1019-1025, 1999. (pdf)
• M. Riesenhuber and T. Poggio. Models of object recognition. Nature Neurscience 3 supp., 1199-1204, 2000. (pdf)
• Tanaka
• K. Tanaka. Mechanisms of visual object recognition: monkey and human studies. Curr Op Neurobio 7: 523--529,1997. (Tanaka96 pdf) (Tanaka97 pdf)

Week 10 (Fri, Dec 7): Presentation and summary

Student presenters: Anelia Angelova, Claudio Fanti, Rob Fergus, Fei Fei Li, Pierre Moreels, Dirk Walther

Additional Readings

• Ullman and Sali
• S. Ullman and E. Sali, Object classification using a fragment-based representation. Lect Notes Comput Sc 1811: 73-87, 2000.
• Faces and biometrics
• Vicky Bruce et al.
• P.J.B. Hancock, V. Bruce and A.M. Burton. Recognition of unfamiliar faces. Trends Cogn Sci 4(9): 330-337, 2000. (paper copy available)
• Aspect graphs and Generalized cylinders
• Image Retrieval
• Swain et al.
• M.J. Swain and D.H. Ballard. Color indexing. IJCV 7(1): 11-32, 1991. (paper copy available)
• Tomasi et al.
• Y. Rubner, L. Guibas and c. Tomasi. The earth mover's distance, multi-dimensional scaling, and color-based image retrieval. Proceedings of the ARPA image ulderstanding workship. 661-668, 1997. (pdf)
• IBM Almaden group
• M. Flickner, H. Sawhney, W. Niblack, et al. Query by image and vedeo content -- the QBIC system. Computer 28(9): 23-32, 1995. (paper copy available)
• Poggio et al.
• R. Brunelli, T. Poggio. Face Recognition: Features versus Templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 15: 1042-1052, 1993. (ps)
• Kriegman et al.
• P. Belhumeur and D. Kriegman. What is the set of images of an object under all possible illumination conditions? IJCV, 28(3): 245-260, 1998. (pdf)
• Forsyth et al.
• S.I. Ioffe and D.A. Forsyth. Finding people by sampling. ICCV 1092-1097, 1999. (pdf)
• Crowley et al.
• B. Schiele and J.L. Crowley. Recognition without correspondence using multidimensional receptive field histograms. IJCV 36(1): 31--50, 2000.
• Tanaka
• K. Tanaka. Mechanisms of visual object recognition: monkey and human studies. Curr Op Neurobio 7: 523--529, 1997.

• Databases

  http://cvc.yale.edu/projects/yalefaces/yalefaces.html