Name
Abstract | ||
|---|---|---|
Due to illumination variability, the same object can appear dramatically different even when viewed in fixed pose. To handle this variability, an object recognition system must employ a representation that is either invariant to, or models this variability. This paper presents an appearance-based method for modeling the variability due to illumination in the images of objects. The method differs from past appearance-based methods, however, in that a small set of training images is used to generate a representation - the illumination cone - which models the complete set of images of an object with Lambertian reflectance map under an arbitrary combination of point light sources at infinity. This method is both an implementation and extension (an extension in that it models cast shadows) of the illumination cone representation proposed in [3]. The method is tested on a database of 660 images of 10 faces, and the results exceed those of popular existing methods. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/CVPR.1998.698587 | CVPR |
Keywords | Field | DocType |
appearance-based method,small set,complete set,illumination cones,arbitrary combination,popular existing method,illumination cone,variable lighting,illumination cone representation,object recognition system,lambertian reflectance map,past appearance-based method,face recognition,lighting,computed tomography,face detection,learning artificial intelligence,reflectivity,computer vision,image recognition,object recognition | Computer vision,Facial recognition system,Engineering profession,Pattern recognition,Computer science,Invariant (mathematics),Artificial intelligence,Face detection,Reflectivity,Small set,Lambertian reflectance,Cognitive neuroscience of visual object recognition | Conference |
Volume | Issue | ISSN |
1998 | 1 | 1063-6919 |
ISBN | Citations | PageRank |
0-8186-8497-6 | 117 | 15.79 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. S. Georghiades | 1 | 117 | 15.79 |
| D. J. Kriegman | 2 | 653 | 108.98 |
| Peter N. Belhumeur | 3 | 12242 | 1001.27 |