33 search results - page 6 / 7 » Learning invariant object recognition in the visual system w... |
DSMML
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
ICIAR
2010
Springer
13 years 10 months 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...
IJCV
2008
13 years 5 months ago
2008
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...