Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
On Photometric Issues in 3D Visual Recognition from aSingle 2D Image
International Journal of Computer Vision
International Journal of Computer Vision
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Object Representation form Lighting Variations
ECCV '96 Proceedings of the International Workshop on Object Representation in Computer Vision II
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Photometric Stereo with General, Unknown Lighting
International Journal of Computer Vision
Hi-index | 0.00 |
This paper presents a method for finding the surface normals and reflectance of an object from a set of images obtained under different lighting conditions. This set of images, assuming a Lambertian object, can be approximated by a three dimensional linear subspace, under an orthographic camera model and without shadows and specularities. However, a higher dimensional subspace is needed when images present pixels in shadow, specularities or ambient illumination. This paper proposes on the one hand to consider pixels in shadow and specularities as missing data; and on the other hand a rank-four formulation to recover the ambient illumination. An adaptation of the Alternationtechnique is introduced to compute the sought surface normals and light-source matrices. Experimental results show the good performance of the proposed Alternation-based strategy.