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» From Images to Shape Models for Object Detection
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ICASSP
2010
IEEE
15 years 5 months ago
Human detection in images via L1-norm Minimization Learning
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao
CVPR
2008
IEEE
16 years 8 months ago
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection
We propose a novel step toward the unsupervised segmentation of whole objects by combining "hints" of partial scene segmentation offered by multiple soft, binary mattes....
Andrew N. Stein, Thomas S. Stepleton, Martial Hebe...
IEEECGIV
2007
IEEE
16 years 29 days ago
A Novel Approach for Change Detection in Remote Sensing Image Based on Saliency Map
Detecting change of remote sensing images is very important for some applications such as tracking of moving objects and motion estimation. Traditional work on change detection ha...
Minghui Tian, Shouhong Wan, Lihua Yue
CIARP
2009
Springer
16 years 1 months ago
3D and Appearance Modeling from Images
This paper gives an overview of works done in our group on 3D and appearance modeling of objects, from images. The backbone of our approach is to use what we consider as the princi...
Peter F. Sturm, Amaël Delaunoy, Pau Gargallo,...
ICPR
2002
IEEE
15 years 11 months ago
Near-Optimal Regularization Parameters for Applications in Computer Vision
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis