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» Robotic Grasping of Novel Objects using Vision
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CVPR
2007
IEEE
14 years 9 months ago
Illumination Multiplexing within Fundamental Limits
Taking a sequence of photographs using multiple illumination sources or settings is central to many computer vision and graphics problems. A growing number of recent methods use m...
Netanel Ratner, Yoav Y. Schechner
ICPR
2008
IEEE
14 years 8 months ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...
ACCV
2006
Springer
14 years 1 months ago
Inducing Semantic Segmentation from an Example
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent region...
Yaar Schnitman, Yaron Caspi, Daniel Cohen-Or, Dani...
CVPR
2001
IEEE
14 years 9 months ago
Generic Model Abstraction from Examples
Model Abstraction from Examples Yakov Keselman, Member, IEEE, and Sven Dickinson, Member, IEEE The recognition community has typically avoided bridging the representational gap bet...
Yakov Keselman, Sven J. Dickinson
CVPR
2003
IEEE
14 years 9 months ago
Multi-view Stereo Beyond Lambert
We consider the problem of estimating the shape and radiance of an object from a calibrated set of views under the assumption that the reflectance of the object is nonLambertian. ...
Hailin Jin, Stefano Soatto, Anthony J. Yezzi