372 search results - page 4 / 75 » Learning Location Invariance for Object Recognition and Loca... |
139
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ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
DSMML
2004
Springer
15 years 5 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...
142
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CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
119
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ICPR
2008
IEEE
16 years 29 days ago
2008
IEEE
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
107
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ICIAR
2010
Springer
15 years 4 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...