372 search results - page 12 / 75 » Learning Location Invariance for Object Recognition and Loca... |
122
click to vote
FGR
2004
IEEE
15 years 3 months ago
2004
IEEE
Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations....
100
click to vote
ICPR
2002
IEEE
16 years 26 days ago
2002
IEEE
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In th...
102
click to vote
WAPCV
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
IJCV
2008
14 years 11 months ago
2008
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
113
click to vote
ECCV
1998
Springer
16 years 1 months ago
1998
Springer
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...