Appearance sampling for obtaining a set of basis images for variable illumination

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2, Issue , 2003, Pages 800-807

  Sato, Imari ^a   Okabe, Takahiro ^a   Sato, Yoichi ^a   Ikeuchi, Katsushi ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS; SAMPLING; SPECTRUM ANALYSIS;

ANGULAR FREQUENCY DOMAIN; BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTION; LOW-DIMENSIONAL LINEAR SUBSPACE; THREE DIMENSIONAL SHAPE;

IMAGE PROCESSING;

EID: 0344120698     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iccv.2003.1238430     Document Type: Conference Paper

References (18)

1. R. Basri and D. Jacobs, "Lambertian Reflectance and Linear Subspaces," Proc. IEEE Intl. Conf. Computer Vision 01, pp. 383-389, 2001.
2. P. Debevec, "Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination with high dynamic range photography," Proc. ACM SIGGRAPH 98, pp. 189-198, 1998.
3. J. Driscoll and D. Healy, Jr. "Computing Fourier transforms and convolutions on the 2-sphere," J. Advanced in Applied Mathematics, Vol. 15, pp. 202-250, 1994.
4. R. Epstein, P. Hallinan, and A. Yuille, "5+/-2 eigenimages suffice: An empirical investigation of low-dimensional lighting models," Proc. IEEE Workshop on Physics-Based Modeling in Computer Vision, pp. 108-116, 1995.
5. A. Georghiades, D. Kriegman, and P. Belhumeur, "Illumination cones for recognition under variable lighting: Faces," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 52-59, 1998.
6. A. Georghiades, D. Kriegman, and P. Belhumeur, "From few to many: Generative models for recognition under variable pose and illumination," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 643-660, 2001.
7. P. Hallinan, "A low-dimensional representation of human faces for arbitrary lighting conditions," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 995-999, 1994.
8. K. C. Lee, J. Ho, and D. Kriegman, "Nine points of light: Acquiring subspaces for face recognition under variable lighting," Proc. IEEE Conf. Computer Vision and Pattern Recognition 01, pp. 519-526, 2001.
9. H. Murase and S. Nayar, "Visual learning and recognition of 3-D objects from appearance," Int. J. Computer Vision, vol. 14, no. 1, pp. 5-24, 1995.
10. R. Ramamoorthi and P. Hanrahan, "A signal-procession framework for inverse rendering", Proc. ACM SIGGRAPH 01, pp. 117-128, 2001.
11. R. Ramamoorthi and P. Hanrahan, "On the relationship between radiance and irradiance: Determining the illumination from images of a convex lambertian object," J. Optical Society of America A, vol. 18, no. 10, pp. 2448-2459, 2001.
12. R. Ramamoorthi and P. Hanrahan, "An efficient representation for irradiance environment maps," Proc. ACM SIGGRAPH 01, pp. 497-500, 2001.
13. R. Ramamoorthi, "Analytic PCA construction for theoretical analysis of lighting variability in images of a lambertian object" IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 10, pp. 1322-1333, 2002.
14. R. Ramamoorthi and P. Hanrahan, "Frequency space environment map rendering" Proc. ACM SIGGRAPH 02, pp. 517-526, 2002.
15. A. Shashua, "On photometric issues in 3D visual recognition from a single image," Int. J. Computer Vision, vol. 21, pp. 99-122, 1997.
16. P.-P. Sloan, J. Kautz, and J. Snyder, "Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments," ACM SIGGRAPH 02, pp. 527-536, 2002.
17. A. Yuille, D. Snow, R. Epstein, and P. Belhumeur, "Determining generative models of objects under varying illumination: Shape and albedo from multiple images using SVD and integrability," Int. J. Computer Vision, vol. 35, no. 3, pp. 203-222, 1999.
18. L. Zhao and Y. Yang, "Theoretical analysis of illumination in PCA-based vision systems," Pattern Recognition, vol. 32, pp. 547-564, 1999.