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» Discrete optimization in computer vision
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CVPR
2003
IEEE
14 years 12 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma
CVPR
2006
IEEE
14 years 12 months ago
A Closed Form Solution to Natural Image Matting
Interactive digital matting, the process of extracting a foreground object from an image based on limited user input, is an important task in image and video editing. From a compu...
Anat Levin, Dani Lischinski, Yair Weiss
ICCV
2007
IEEE
14 years 12 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
ECCV
2008
Springer
14 years 12 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ECCV
2006
Springer
14 years 12 months ago
Detecting Instances of Shape Classes That Exhibit Variable Structure
This paper proposes a method for detecting instances of shape classes that exhibit variable structure. The term "variable structure" is used to characterize shape classes...
Vassilis Athitsos, Jingbin Wang, Stan Sclaroff, Ma...