372 search results - page 19 / 75 » Learning Location Invariance for Object Recognition and Loca... |
118
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Object localization and classification are important problems in computer vision.
However, in many applications, exhaustive search over all class labels and image
locations is co...
IJPRAI
2002
14 years 11 months ago
2002
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
103
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ICCV
2005
IEEE
16 years 1 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
102
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CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
The Gaussian kernel has played a central role in multi-scale methods for feature extraction and matching. In this paper, a method for shaping the filter using the local image stru...
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
In the context of object recognition, it is useful to extract, from the images, efficient indexes that are insensitive to the illumination conditions, to the camera scale factor ...