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» Clustering of Video Objects by Graph Matching
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CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 7 months ago
Many-to-Many Graph Matching: a Continuous Relaxation Approach
Graphs provide an efficient tool for object representation in various computer vision applications. Once graph-based representations are constructed, an important question is how ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...
CVPR
2009
IEEE
15 years 2 months ago
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
This paper studies a framework for matching an unknown number of corresponding structures in two images (shapes), motivated by detecting objects in cluttered background and lear...
Kun Zeng, Liang Lin, Song Chun Zhu, Xiaobai Liu
MM
2006
ACM
119views Multimedia» more  MM 2006»
14 years 1 months ago
Model generation for video-based object recognition
This paper presents a novel approach to object recognition involving a sparse 2D model and matching using video. The model is generated on the basis of geometry and image measurab...
Humera Noor, Shahid H. Mirza, Yaser Sheikh, Amit J...
ICMCS
2007
IEEE
203views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Efficient Video Object Segmentation by Graph-Cut
Segmentation of video objects from background is a popular computer vision problem and has many important applications. Most existing methods are either computationally expensive ...
Jinjun Wang, Wei Xu, Shenghuo Zhu, Yihong Gong
CVPR
2007
IEEE
14 years 9 months ago
Topology matching for 3D video compression
This paper presents a new technique to reduce the storage cost of high quality 3D video. In 3D video [12], a sequence of 3D objects represents scenes in motion. Every frame is com...
Tony Tung, Francis Schmitt, Takashi Matsuyama