Title
A novel photometric motion approach
Abstract
Photometric motion is a computer vision process for the estimation of shape from image sequences of dynamic scenes. It was introduced by Pentland, based on his observation that the photometric effects of motion: the intensity change of a moving point, could dominate the purely geometric ones, due to projective distortion. We present a novel formulation for the same shape estimation problem, whose distinctive feature is that of being based on the irradiance change, due to the motion, at a given point in the image plane, and not, as in the original proposal, at a fixed location on the moving surface. Thus we obtain an easily implementable procedure which yields good-quality estimates, and which can be extended to single-input shape reconstruction.
Year
DOI
Keywords
2003
10.1109/SIBGRA.2003.1241022
computer graphics,computer vision,image matching,image reconstruction,image sequences,motion estimation,computer vision process,dynamic scene,image sequence,photometric motion,shape estimation problem
Field
DocType
ISSN
Structure from motion,Computer vision,Motion field,Feature detection (computer vision),Image plane,Scale space,Artificial intelligence,Motion estimation,Image restoration,Mathematics,3D reconstruction
Conference
1530-1834
ISBN
Citations 
PageRank 
0-7695-2032-4
1
0.39
References 
Authors
2
5