Publications
2000. Breakout Session Report: Principles and Methods. Perceptual Organization for Artificial Vision Systems. :17-28.
1999. Linear fitting with missing data: applications to structure-from-motion and to characterizing intensity images. (6009437)
1994. Generalizing invariants for 3-D to 2-D matching. Applications of Invariance in Computer Vision. :415-434.
2005. Non-negative lighting and specular object recognition. Proc. of IEEE International Conference on Computer Vision. 2
2001. Judging whether multiple silhouettes can come from the same object. Visual Form 2001. :532-541.
2000. Class representation and image retrieval with non-metric distances. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 22(583-600):1-1.
1998. Comparing images under variable illumination. Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on. :610-617.
1996. Robust and efficient detection of salient convex groups. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 18(1):23-37.
2000. What makes viewpoint invariant properties perceptually salient?: A computational perspective Perceptual organization for artificial vision systems. :121-138.
2001. Linear Fitting with Missing Data for Structure-from-Motion. Computer Vision and Image Understanding. 82(1):57-81.
1993. 2D images of 3-D oriented points. Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on. :226-232.
1998. Condensing image databases when retrieval is based on non-metric distances. Computer Vision, 1998. Sixth International Conference on. :596-601.
1999. 3-d to 2-d pose determination with regions. International Journal of Computer Vision. 34(2):123-145.
1992. Space efficient 3-D model indexing. Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on. :439-444.
2003. Perceptual Completion and Memory. Perceptual organization in vision: behavioral and neural perspectivesPerceptual organization in vision: behavioral and neural perspectives. :403-403.
2001. Perceptual organization as generic object recognition. From Fragments to Objects Segmentation and Grouping in VisionFrom Fragments to Objects Segmentation and Grouping in Vision. Volume 130:295-329.
2003. BAYESIAN AND STATISTICAL APPROACHES TO VISION-Natural Image Statistics and Perceptual Inference-What makes viewpoint-invariant properties perceptually salient? Journal of the Optical Society of America-A-Optics Image Science and Vision. 20(7):1304-1320.
1997. 3-D to 2-D recognition with regions. Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on. :547-553.