817 search results - page 20 / 164 » A deformable local image descriptor |
CVPR
1996
IEEE
14 years 9 months ago
1996
IEEE
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
IPMI
2005
Springer
14 years 1 months ago
2005
Springer
Many types of transformations are used to model deformations in medical image registration. While some focus on modeling local changes, some on continuity and invertibility, there ...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object desc...
SIBGRAPI
2007
IEEE
14 years 1 months ago
2007
IEEE
Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with glob...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Matching points between multiple images of a scene is a vital component of many computer vision tasks. Point matching involves creating a succinct and discriminative descriptor fo...