In search of illumination invariants

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2000, Pages 254-261

  Chen, Hansen F ^a   Belhumeur, Peter N ^b   Jacobs, David W ^c  

^a Yale University   (United States)

^b YALE UNIVERSITY   (United States)

^c NEC LABORATORIES AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; FUNCTIONS; IMAGE PROCESSING; LIGHT REFLECTION; LIGHT SOURCES; LIGHTING; OPTICAL VARIABLES MEASUREMENT; PROBABILITY DISTRIBUTIONS; SURFACE PROPERTIES;

FACE RECOGNITION; ILLUMINATION INVARIANTS; IMAGE GRADIENTS; LAMBERTIAN REFLECTANCE;

IMAGE QUALITY;

EID: 0033719241     PISSN: 10636919     EISSN: None     Source Type: Journal    
DOI: 10.1109/CVPR.2000.855827     Document Type: Conference Paper

References (40)

1. Y. Adini Y. Moses S. Ullman Face Recognition: The Problem of Compensating for Changes in Illumination Direction IEEE Trans.PAMI 19 7 721 732 July 1997
2. J. August S. Zucker Perceptual Organization for Artificial Vision Systems 265 288 2000 Kluwer Academic Boston The curve indicator random field: curve organization via edge correlation
3. S. Baker S. K. Nayar Global Measures of Coherence for Edge Detector Evaluation CVPR 99 2 373 379 CVPR 99 1999-June
4. P. Belhumeur D. Kriegman What is the Set of Images of an Object Under All Possible Lighting Conditions IEEE CVPR 96 270 277 IEEE CVPR 96 1996
5. P. Breton S. Zucker Shadows and Shading Flow Fields CVPR 96 782 789 CVPR 96 1996
6. J. Burns R. Weiss E. Riseman Geometric Invariance in Computer Vision 1992 MIT Press Cambridge The Non-Existence of General-Case View-Invariants
7. H. Chen P. Belhumeur TechnicalReport on Illumination Invariance Dec. 1999 Center for Computational Vision, Computer Science Dept., Yale University
8. D. Clemens D. Jacobs Space and Time Bounds on Model Indexing IEEE Trans. on Pattern Analysis and Machine Intelligence 13 10 1007 1018 1991
9. E. Coleman R. Jain Obtaining 3-Dimensional Shape of Textured and Specular Surfaces Using Four-Source Photometry CGIP 82 18 4 309 328 CGIP 82 1982
10. E. A. Coddington N. Levinson Theory of Ordinary Differential Equations 1984 Krieger Publishing Co. Fl, Malabar
11. J. Fan L. Wolff Surface Curvature and Shape Reconstruction from Unknown Multiple Illumination and Integrability Computer Vision and Image Understanding 65 2 347 359 1997
12. O. Faugeras L. Robert What Can Two Inages Tell Us about a Third One? Int. J. of Comp. Vis. 18 1 5 19 1996
13. W. Freeman The Generic Viewpoint Assumption in a Framework for Visual Perception Nature 368 542 545 1994
14. A. Georghiades D. Kriegman P. Belhumeur Illumination Cones for Recognition Under Variable Lighting: Faces CVPR 98 52 59 CVPR 98 1998
15. A. Georghiades P. Belhumeur D. Kriegman From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination Int. Conf. on Automatic Face and Gesture Recognition 2000 Int. Conf. on Automatic Face and Gesture Recognition 2000 2000
16. P. Hallinan A Low-Dimensional Representation of Human Faces for Arbitrary Lighting Conditions CVPR 94 995 999 CVPR 94 1994
17. B. Horn Determining Lightness from an Image CGIP 74 3 4 277 299 CGIP 74 1974
18. D. Jacobs Matching 3-D Models to 2-D Images Int. J. of Comp. Vis. 21 1-2 123 153 1997
19. D. Jacobs P. Belhumeur R. Basri Comparing Images Under Variable Illumination CVPR 98 610 617 CVPR 98 1998
20. J. J. Koenderink Solid Shape 1990 The MIT Press MA, Cambridge
21. J. J. Koenderink A. J. van Doorn Photometric Invariants related to solid Shape Optica Acta 27 7 981 996 1980
22. S. Konishi A. L. Yuille J. Coughlan S. C. Zhu Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues CVPR 99 2 573 579 CVPR 99 1999
23. J. Lambert Photometria Sive de Mensura et Gradibus Luminus, Colorum et Umbrae 1760 Eberhard Klett
24. D. Lowe Perceptual Organization and Visual Recognition 1985 Kluwer Academic Publishers The Netherlands
25. D. Marr Vision 1982 W.H. Freeman and Company San Francisco
26. Y. Moses Face recognition: generalization to novel images 1993
27. Y. Moses S. Ullman Generalization to Novel Views: Universal, Class-based, and Model-based Processing Int. J. of Comp. Vis. 29 3 233 253 1998
28. Y. Moses S. Ullman Limitations of Non Model-Based Recognition Schemes Sec. Eur. Conf. on Comp. Vis. 820 828 Sec. Eur. Conf. on Comp. Vis. 1992
29. Geometric Invariance in Computer Vision 1992 MIT Press Cambridge
30. H. Murase S. Nayar Visual learning and recognition of 3D objects from appearance Int. J. of Comp. Vis. 14 1 5 25 1995
31. S. Nayar R. Bolle Reflectance Based Object Recognition Int. J. of Comp. Vis. 17 3 219 240 1996
32. R. Onn F. Bruckstein Integrabilit y Disambiguates Surface Recovery in Two-Image Photometric Stereo Int. J. of Comp. Vis. 5 1 105 113 1990
33. D. Ruderman The statistics of natural images Network: Computation in Neural Systems 5 517 548 1994
34. D. Ruderman W. Bialek Statistics of Natural Images: Scaling in the Woods Phyical Review Letters 73 6 814 817 1994
35. A. Shashua On Photometric Issues in 3D Visual Recognition from a Single 2D Image Int. J. of Comp. Vis. 21 1-2 99 122 1997
36. M. Turk A. Pentland Eigenfaces for Recognition Journal of Cognitive Neuroscience 3 1 71 96 1991
37. S. Ullman Aligning Pictorial Descriptions: An Approach to Object Recognition Cognition 32 3 193 254 1989
38. S. Ullman R. Basri Recognition by Linear Combinations of Models IEEE Trans. PAMI 13 10 992 1007 1991
39. L. Wolff E. Angelopoulou Eur. Conf. on Comp. Vis. 247 258 Eur. Conf. on Comp. Vis. 1994
40. L. Wolff J. Fan Segmentation of Surface Curvature with a Photometric Invariant J. Opt. Soc. Am. A 11 11 3090 3100 Nov. 1994