11 search results - page 1 / 3 » CSIFT: A SIFT Descriptor with Color Invariant Characteristic... |
CVPR
2006
IEEE
14 years 6 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...
PAMI
2010
13 years 2 months ago
2010
—Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used for featu...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
ICIP
2010
IEEE
13 years 2 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...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
We propose a method to compute scale invariant features in omnidirectional images. We present a formulation based on Riemannian geometry for the definition of differential operato...