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WACV
2005
IEEE
15 years 3 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
CVPR
2003
IEEE
15 years 11 months ago
Extracting Dense Features for Visual Correspondence with Graph Cuts
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...
Olga Veksler
ICIP
2006
IEEE
15 years 11 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
FGCN
2008
IEEE
200views Communications» more  FGCN 2008»
15 years 4 months ago
Fast Method for Multiple Human Face Segmentation in Color Image
Face segmentation has been used in many different applications, such as face tracking, video surveillance in security control system and human computer interface. In this paper we...
Rudy Adipranata, Eddy, Cherry G. Ballangan, Ronald...
CVPR
2001
IEEE
15 years 11 months ago
A Subspace Approach to Layer Extraction
Representing images with layers has many important applications, such as video compression, motion analysis, and 3D scene analysis. This paper presents an approach to reliably ext...
Qifa Ke, Takeo Kanade