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» Graph-Theoretical Methods in Computer Vision
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ICPR
2000
IEEE
14 years 11 months ago
Recursive Factorization Method for the Paraperspective Model Based on the Perspective Projection
The factorization method, which allows us to reconstruct the motion of the camera and shape of the object simultaneously from multiple images, provides high stability in numerical...
Jun Fujiki, Takeshi Kurata
CVPR
2007
IEEE
14 years 12 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
CVPR
2010
IEEE
14 years 6 months ago
Efficient Histogram-Based Sliding Window
Many computer vision problems rely on computing histogram-based objective functions with a sliding window. A main limiting factor is the high computational cost. Existing computat...
Yichen Wei, Litian Tao
BMVC
2001
14 years 10 days ago
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms
In this paper we present a system that combines the benefits of 3D deformable models and level set methods for medical volume segmentation. Our 3D deformable model is a very comp...
Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry
CVPR
2011
IEEE
13 years 5 months ago
A Global Sampling Method for Alpha Matting
Alpha matting refers to the problem of softly extracting the foreground from an image. Given a trimap (specifying known foreground/background and unknown pixels), a straightforwar...
Kaiming He, Christoph Rhemann, Carsten Rother, Xia...