Title: "Class-based matching of object parts"

Authors and affiliations: Evgeniy Bart and Shimon Ullman, Department of 
Computer Science And Applied Mathematics, Weizmann Institute of Science, 
Rehovot, Israel 76100

Email: {evgeniy.bart, shimon.ullman}@weizmann.ac.il

Abstract:
We develop a novel technique for class-based matching of object parts 
across large changes in viewing conditions. Given a set of images of 
objects from a given class under different viewing conditions, the 
algorithm identifies corresponding regions depicting the same object 
part in different images. The technique is based on using the 
equivalence of corresponding features in different viewing conditions. 
This equivalence-based matching scheme is not restricted to planar  
components or affine transformations. As a result, it identifies 
corresponding parts more accurately and under more general conditions 
than previous methods. The scheme is general and works for a variety of 
natural object classes. We demonstrate that using the proposed methods, 
a dense set of accurate correspondences can be obtained. Experimental 
comparisons to several known techniques are presented. An application to 
the problem of invariant object recognition is shown, and additional 
applications to wide-baseline stereo are discussed.

Link:

http://www.wisdom.weizmann.ac.il/~evgeniy/Publications/2004/BartUllmanClassBasedMatching.pdf