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» Robust Algorithms for Object Localization
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ACIVS
2005
Springer
14 years 2 months ago
Object Recognition Using Local Characterisation and Zernike Moments
Abstract. Even if lots of object invariant descriptors have been proposed in the literature, putting them into practice in order to obtain a robust system face to several perturbat...
Anant Choksuriwong, Hélène Laurent, ...
ICCV
2007
IEEE
14 years 2 months ago
Non-Rigid Object Alignment with a Mismatch Template Based on Exhaustive Local Search
Non-rigid object alignment is especially challenging when only a single appearance template is available and target and template images fail to match. Two sources of discrepancy b...
Yang Wang, Simon Lucey, Jeffrey F. Cohn
COMSIS
2010
13 years 5 months ago
Robust moving object detection under complex background
We present a novel method to robustly and efficiently detect moving object, even under the complexity background, such as illumination changes, long shadows etc. This work is disti...
Ding Ying, Wen-Hui Li, Jing-Tao Fan, Hua-Min Yang
CVPR
2001
IEEE
14 years 10 months ago
Local Feature View Clustering for 3D Object Recognition
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
David G. Lowe
CVPR
2005
IEEE
14 years 10 months ago
Mercer Kernels for Object Recognition with Local Features
A new class of kernels for object recognition based on local image feature representations are introduced in this paper. These kernels satisfy the Mercer condition and incorporate...
Siwei Lyu