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» Local shape features for object recognition
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ICPR
2008
IEEE
15 years 4 months ago
Flexible object recognition in cluttered scenes using relative point distribution models
This paper introduces an edge-based object recognition method that is robust with respect to clutter, occlusion and object deformations. The method combines the use of local featu...
Alexandros Bouganis, Murray Shanahan
PR
2007
235views more  PR 2007»
14 years 9 months ago
Robust facial feature tracking under varying face pose and facial expression
This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and e...
Yan Tong, Yang Wang 0002, Zhiwei Zhu, Qiang Ji
EVOW
2007
Springer
15 years 3 months ago
Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming
We describe a novel method of evolutionary visual learning that uses generative approach for assessing learner’s ability to recognize image contents. Each learner, implemented as...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
NIPS
2004
14 years 11 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
CCIA
2007
Springer
15 years 3 months ago
An Evaluation of an Object Recognition Schema Using Multiple Region Detectors
Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...
Meritxell Vinyals, Arnau Ramisa, Ricardo Toledo