1284 search results - page 2 / 257 » A novel local feature descriptor for image matching |
CVPR
2006
IEEE
14 years 7 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...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
ACIVS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Most existing feature-point matching algorithms rely on photometric region descriptors to distinct and match feature points in two images. In this paper, we propose an eï...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
We evaluate the performance of MPEG-7 image signatures, Compressed Histogram of Gradients descriptor (CHoG) and Scale Invariant Feature Transform (SIFT) descriptors for mobile vis...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...