Title
Passive photometric stereo from motion
Abstract
We introduce an iterative algorithm for shape reconstruction from multiple images of a moving (Lambertian) object illuminated by distant (and possibly time varying) lighting. Starting with an initial piecewise linear surface, the algorithm iteratively estimates a new surface based on the previous surface estimate and the photometric information available from the input image sequence. During each iteration, standard photometric stereo techniques are applied to estimate the surface normals up to an unknown generalized bas-relief transform, and a new surface is computed by integrating the estimated normals. The algorithm essentially consists of a sequence of matrix factorizations (of intensity values) followed by minimization using gradient descent (integration of the normals). Conceptually, the algorithm admits a clear geometric interpretation, which is used to provide a qualitative analysis of the algorithm's convergence. Implementation-wise, it is straightforward being based on several established photometric stereo and structure from motion algorithms. We demonstrate experimentally the effectiveness of our algorithm using several videos of hand-held objects moving in front of a fixed light and camera
Year
DOI
Venue
2005
10.1109/ICCV.2005.185
ICCV
Keywords
Field
DocType
surface estimation,bas-relief transform,shape reconstruction,established photometric stereo,initial piecewise linear surface,matrix factorizations,minimization,piecewise linear surface,photometric information,previous surface estimate,standard photometric stereo technique,image reconstruction,image sequence,iterative algorithm,motion algorithm,moving lambertian object,image sequences,gradient methods,new surface,input image sequence,transforms,algorithm iteratively,gradient descent,minimisation,stereo image processing,geometric interpretation,passive photometric stereo,image motion analysis,piecewise linear,stereo vision,qualitative analysis,matrix factorization,photometric stereo
Structure from motion,Convergence (routing),Iterative reconstruction,Computer vision,Gradient descent,Iterative method,Computer science,Stereopsis,Artificial intelligence,Piecewise linear function,Photometric stereo
Conference
Volume
ISSN
ISBN
2
1550-5499
0-7695-2334-X
Citations 
PageRank 
References 
48
1.71
15
Authors
4
Name
Order
Citations
PageRank
Jongwoo Lim14105144.58
Jeffrey Ho22190101.78
Yang Ming-Hsuan315303620.69
David Kriegman47693451.96