71 search results - page 1 / 15 » Object Class Recognition Using SIFT and Bayesian Networks |
MICAI
2010
Springer
13 years 9 months ago
2010
Springer
Several methods have been presented in the literature that successfully used SIFT features for object identification, as they are reasonably invariant to translation, rotation, sc...
ACIVS
2006
Springer
14 years 2 months ago
2006
Springer
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
ICCV
2007
IEEE
15 years 28 days ago
2007
IEEE
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
ICCV
2005
IEEE
15 years 27 days ago
2005
IEEE
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
CCIA
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...