Analytic PCA Construction for Theoretical Analysis of Lighting Variability in Images of a Lambertian Object
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[1] Ravi Ramamoorthi ravir. Analytic PCA construction for theoretical analysis of lighting variability , including attached shadows , in a single image of a convex Lambertian object , 2001 .
[2] Thomas Malzbender,et al. Polynomial texture maps , 2001, SIGGRAPH.
[3] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[4] Pat Hanrahan,et al. An efficient representation for irradiance environment maps , 2001, SIGGRAPH.
[5] Amnon Shashua,et al. Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces , 2002, ECCV.
[6] Shimon Ullman,et al. Face Recognition: The Problem of Compensating for Changes in Illumination Direction , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Stephen H. Westin,et al. A global illumination solution for general reflectance distributions , 1991, SIGGRAPH.
[8] P. Hanrahan,et al. On the relationship between radiance and irradiance: determining the illumination from images of a convex Lambertian object. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.
[9] David J. Kriegman,et al. What Is the Set of Images of an Object Under All Possible Illumination Conditions? , 1998, International Journal of Computer Vision.
[10] Ronen Basri,et al. Lambertian Reflectance and Linear Subspaces , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Lawrence Sirovich,et al. Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Li Zhao,et al. Theoretical analysis of illumination in PCA-based vision systems , 1999, Pattern Recognit..
[13] David J. Kriegman,et al. Illumination cones for recognition under variable lighting: faces , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[14] Pat Hanrahan,et al. A signal-processing framework for inverse rendering , 2001, SIGGRAPH.
[15] L. M. M.-T.. Spherical Harmonics: an Elementary Treatise on Harmonic Functions, with Applications , 1928, Nature.
[16] Russell A. Epstein,et al. 5/spl plusmn/2 eigenimages suffice: an empirical investigation of low-dimensional lighting models , 1995, Proceedings of the Workshop on Physics-Based Modeling in Computer Vision.
[17] L Sirovich,et al. Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[18] Peter W. Hallinan. A low-dimensional representation of human faces for arbitrary lighting conditions , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[19] David J. Kriegman,et al. From few to many: generative models for recognition under variable pose and illumination , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[20] Nelson L. Max,et al. Bidirectional reflection functions from surface bump maps , 1987, SIGGRAPH.
[21] Ronen Basri,et al. Photometric stereo with general, unknown lighting , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[22] Daniel Snow,et al. Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability , 1999, International Journal of Computer Vision.
[23] Amnon Shashua,et al. On Photometric Issues in 3D Visual Recognition from a Single 2D Image , 2004, International Journal of Computer Vision.