Low-dimensional representations of shaded surfaces under varying illumination

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

Volumn 2, Issue , 2003, Pages

  Nillius, Peter ^a   Eklundh, Jan Olof ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; DATABASE SYSTEMS; FEATURE EXTRACTION; HARMONIC ANALYSIS; IMAGE ENHANCEMENT; IMAGE QUALITY; LIGHT REFLECTION; LIGHT SOURCES; LOW PASS FILTERS; OBJECT RECOGNITION; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS;

LAMBERTIAN REFLECTANCE; SPHERICAL HARMONICS;

IMAGE ANALYSIS;

EID: 0041940299     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. R. Basri and D. Jacobs. Lambertian reflectance and linear subspaces. IEEE Trans. Pattern Analysis and Machine Intelligence, 25(2):218-233, February 2003.
2. P. N. Belhumeur and D. J. Kriegman. What is the set of images of an object under all possible illumination conditions? Int. Journal of Computer Vision, 28(3):245-260, 1998.
3. G. S. Chirikjian and A. B. Kyatkin. Engineering Applications of Noncommutative Harmonic Analysis. CRC Press, 2001.
4. P. Debevec. Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. In SIGGRAPH, pages 189-198, 1998.
5. R. Epstein, P.W. Hallinan, and A.L. Yuille. 5+/-2 eigenimages suffice: An empirical investigation of low-dimensional lighting models. In IEEE Workshop Physics-Based Modeling in Computer Vision, pages 108-116, 1995.
6. P. Hallinan. A low-dimensional representation of human faces for arbitrary lighting conditions. In Proc. CVPR, pages 995-999, 1994.
7. P.S. Huggins, H.F. Chen, P.N. Belhumeur, and S.W. Zucker. Finding folds: On the appearance and identification of occlusion. In Proc. CVPR, pages II:718-725, 2001.
8. R. A. Johnson and D. W. Wichern. Applied Multivariate Statistical Analysis, 4:th ed. Prentice-Hall, 1998.
9. R. Ramamoorthi. Analytic pca construction for theoretical analysis of lighting variability in images of a lambertian object. IEEE Trans. Pattern Analysis and Machine Intelligence, 24(10), October 2002.
10. R. Ramamoorthi and Hanrahan P. On the relationship between radiance and irradiance: determining the illumination from images of a convex lambertian object. JOSA-A, 18(10):2448-2458, October 2001.