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» A new stereo matching algorithm for binocular vision
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CVPR
2012
IEEE
13 years 2 months ago
Locality-constrained and spatially regularized coding for scene categorization
Improving coding and spatial pooling for bag-of-words based feature design have gained a lot of attention in recent works addressing object recognition and scene classification. ...
Aymen Shabou, Hervé Le Borgne
CVPR
2012
IEEE
13 years 2 months ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
CVPR
2007
IEEE
16 years 1 months ago
Recognizing Groceries in situ Using in vitro Training Data
The problem of using pictures of objects captured under ideal imaging conditions (here referred to as in vitro) to recognize objects in natural environments (in situ) is an emergi...
Michele Merler, Carolina Galleguillos, Serge Belon...
CVPR
2009
IEEE
16 years 6 months ago
Shape Band: A Deformable Object Detection Approach
In this paper, we focus on the problem of detecting/ matching a query object in a given image. We propose a new algorithm, shape band, which models an object within a bandwidth ...
Xiang Bai (Huazhong University of Science and Tec...
MVA
2008
131views Computer Vision» more  MVA 2008»
14 years 11 months ago
Frame-level temporal calibration of video sequences from unsynchronized cameras
This paper describes a new method for temporally calibrating multiple cameras by image processing operations. Existing multi-camera algorithms assume that the input sequences are ...
Senem Velipasalar, Wayne Wolf