Nine points of light: Acquiring subspaces for face recognition under variable lighting

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

Volumn 1, Issue , 2001, Pages

  Lee, Kuang Chih ^a   Ho, Jeffrey ^a   Kriegman, David ^a  

^a Digital Computer Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; FEATURE EXTRACTION; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; VIRTUAL REALITY;

VIRTUAL IMAGES;

FACE RECOGNITION;

EID: 0035683467     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. A low-dimensional representation of human faces for arbitrary lighting conditions
2. 5+/-2 eigenimages suffice: An empirical investigation of low-dimensional lighting models
3. What is the set of images of an object under all possible lighting conditions
4. Face recognition: The problem of compensating for changes in illumination direction
5. From few to many: Generative models for recognition under variable pose and illumination
6. Lambertian reflectance and linear subspaces
7. Dimensionality of illumination in appearance matching
8. On photometric issues in 3D visual recognition form a single image
9. Illumination cones for recognition under variable lighting: Faces
10. A signal-processing framework for inverse rendering
11. An efficient representation for irradiance environment
12. In search of illumination invariants