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» Highly Discriminative Invariant FEatures for Image Matching
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ECCV
2010
Springer
15 years 4 months ago
Discriminative Nonorthogonal Binary Subspace Tracking
Visual tracking is one of the central problems in computer vision. A crucial problem of tracking is how to represent the object. Traditional appearance-based trackers are using inc...
Ang Li, Feng Tang, Yanwen Guo, Hai Tao
CORIA
2004
15 years 7 months ago
Audiovisual production invariant searching
Information searching in non-textual media is a fundamental point of interest, especially in the audiovisual industry where there is still an important need of tools for manipulati...
Siba Haidar, Philippe Joly, Bilal Chebaro
CVPR
2006
IEEE
16 years 8 months ago
Image Matching Using Photometric Information
Image matching is an essential task in many computer vision applications. It is obvious that thorough utilization of all available information is critical for the success of match...
Michael Kolomenkin, Ilan Shimshoni
CVPR
2005
IEEE
16 years 8 months ago
Object Detection Using 2D Spatial Ordering Constraints
Object detection is challenging partly due to the limited discriminative power of local feature descriptors. We amend this limitation by incorporating spatial constraints among ne...
Yan Li, Yanghai Tsin, Yakup Genc, Takeo Kanade
CVPR
2007
IEEE
16 years 8 months ago
Improved Video Registration using Non-Distinctive Local Image Features
The task of registering video frames with a static model is a common problem in many computer vision domains. The standard approach to registration involves finding point correspo...
Robin Hess, Alan Fern