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» Object Recognition Using Segmentation for Feature Detection
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ICPR
2008
IEEE
14 years 8 months ago
Object recognition and segmentation using SIFT and Graph Cuts
In this paper, we propose a method of object recognition and segmentation using Scale-Invariant Feature Transform (SIFT) and Graph Cuts. SIFT feature is invariant for rotations, s...
Akira Suga, Keita Fukuda, Tetsuya Takiguchi, Yasuo...
ICIAP
2003
ACM
14 years 25 days ago
Detection and recognition of moving objects using statistical motion detection and Fourier descriptors
Object recognition, i. e. classification of objects into one of several known object classes, generally is a difficult task. In this paper we address the problem of detecting an...
Daniel Toth, Til Aach
CVPR
2007
IEEE
14 years 9 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan
PR
2008
188views more  PR 2008»
13 years 7 months ago
Detection and recognition of contour parts based on shape similarity
Due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital images, it is usually impossible to extract complete object contours or to segment the ...
Xiang Bai, Xingwei Yang, Longin Jan Latecki
ICPR
2008
IEEE
14 years 2 months ago
A new hierarchical approach in robust real-time image feature detection and matching
Object recognition forms a ubiquitous problem in digital image processing. The detection of robust image features of high distinctiveness is one important key in this regard. We p...
Matthias Langer, Klaus-Dieter Kuhnert