17 search results - page 2 / 4 » Object Recognition Using Frequency Domain Blur Invariant Fea... |
ICCV
1999
IEEE
14 years 6 months ago
1999
IEEE
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
CVPR
1997
IEEE
14 years 6 months ago
1997
IEEE
This paper describes an efficient approach to pose invariant object recognition employing pictorial recognition of image patches. A complete affine invariance is achieved by a rep...
CIARP
2007
Springer
13 years 10 months ago
2007
Springer
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
ECCV
2008
Springer
13 years 6 months ago
2008
Springer
Extraction and matching of discriminative feature points in images is an important problem in computer vision with applications in image classification, object recognition, mosaici...
BCS
2008
13 years 6 months ago
2008
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...