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ECCV
2008
Springer
14 years 10 months ago
Multi-stage Contour Based Detection of Deformable Objects
We present an efficient multi stage approach to detection of deformable objects in real, cluttered images given a single or few hand drawn examples as models. The method handles de...
Saiprasad Ravishankar, Arpit Jain, Anurag Mittal
CVPR
2010
IEEE
14 years 4 months ago
Fast and Robust Object Segmentation with the Integral Linear Classifier
We propose an efficient method, built on the popular Bag of Features approach, that obtains robust multiclass pixellevel object segmentation of an image in less than 500ms, with...
David Aldavert, Arnau Ramisa, Ricardo Toledo, Ramo...
ICCV
2001
IEEE
14 years 10 months ago
A Robust Interest Points Matching Algorithm
This paper presents an algorithm that matches interest points detected on a pair of grey level images taken from arbitrary points of view. First matching hypotheses are generated ...
Il-Kyun Jung, Simon Lacroix
MVA
2000
166views Computer Vision» more  MVA 2000»
13 years 10 months ago
Motion Segmentation and Tracking by Embedding Global Model Within a Contextual Relaxation Scheme
IAPR Workshop on Machine Vision and Applications, pp. 455-458, 2000, Tokyo, Japan In this paper, we integrate the model-based tracking and local contexture (temporal and spatial) ...
Yunqiang Chen, Thomas S. Huang
GECCO
2006
Springer
207views Optimization» more  GECCO 2006»
14 years 8 days ago
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design
A robust dynamic evolutionary algorithm (labeled RODEA), where both the robust calculation and mutation operator are based on an orthogonal design, is proposed in this paper. Prev...
Sanyou Y. Zeng, Rui Wang, Hui Shi, Guang Chen, Hug...