25 search results - page 1 / 5 » The Automatic Design of Feature Spaces for Local Image Descr... |
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
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...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Intensity based registration methods, such as the mutual information (MI), do not commonly consider the spatial geometric information and the initial correspondences are ...