251 search results - page 14 / 51 » Object Class Recognition by Unsupervised Scale-Invariant Lea... |
ICCV
2009
IEEE
15 years 18 days ago
2009
IEEE
Our objective is to obtain a state-of-the art object category
detector by employing a state-of-the-art image classifier
to search for the object in all possible image subwindows....
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Recently, many approaches have been proposed for visual object category detection. They vary greatly in terms of how much supervision is needed. High performance object detection m...
ICCV
2007
IEEE
14 years 9 months 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...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
ICIAR
2010
Springer
14 years 12 days ago
2010
Springer
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...