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209
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ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 8 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...
147
Voted
CVPR
2007
IEEE
16 years 5 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
133
Voted
ICPR
2002
IEEE
16 years 4 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
136
Voted
JCDL
2009
ACM
102views Education» more  JCDL 2009»
15 years 10 months ago
Unsupervised creation of small world networks for the preservation of digital objects
The prevailing model for digital preservation is that archives should be similar to a “fortress”: a large, protective infrastructure built to defend a relatively small collect...
Charles L. Cartledge, Michael L. Nelson
143
Voted
DAGM
2007
Springer
15 years 9 months ago
Clustered Stochastic Optimization for Object Recognition and Pose Estimation
We present an approach for estimating the 3D position and in case of articulated objects also the joint configuration from segmented 2D images. The pose estimation without initial...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel