Paper Info
Title
Shape Recognition Algorithm Robust under Partial Occlusions and Affine Deformations
Abstract
We design a generic contrast and affine invariant planar shape recognition algorithm. By generic, we mean an algorithm which delivers a list of all shapes two digital images have in common, up to any affine transform or contrast change. Affine invariance must not be considered as a weak requirement in shape recognition since it is well known that if 3D objects with smooth boundaries are being observed, then the deformation of the objects’ images, far enough from the occlusion boundaries, is locally an affine transform. We define as ”shape elements” all pieces of level lines of the image. We then discuss an efficient local encoding of the shape elements. We finally show experiments. Applications aimed at include image registration, image indexing, optical flow.
Year
DOI
Venue
2000
10.1007/10722604_2
AMDO
Keywords
Field
DocType
partial occlusions,shape recognition algorithm robust,affine deformations,optical flow,image registration,digital image,affine transformation
Affine involution,Affine transformation,Computer vision,Affine shape adaptation,Harris affine region detector,Affine combination,Computer science,Affine coordinate system,Artificial intelligence,Optical flow,Image registration
Conference
Volume
ISSN
ISBN
1899
0302-9743
3-540-67912-X
Citations 
PageRank 
References 
0
0.34
15
Authors
4
Name
Order
Citations
PageRank
Jose Luis Lisani1428.41
Lionel Moisan259938.20
Pascal Monasse325521.14
Jean-Michel Morel43590228.85