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ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
CVPR
2007
IEEE
14 years 12 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
WSCG
2004
154views more  WSCG 2004»
13 years 11 months ago
Freeform Object Positioning by 3D Shape Matching Without Artificial Feature Points
Determining the position and orientation of a workpiece relative to a manufacturing device is a prerequisite for machining path planning. If the workpiece is freeform and if it co...
Joris S. M. Vergeest, Yu Song, D. Hartge
ICPR
2010
IEEE
14 years 2 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
BCS
2008
13 years 11 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...