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» Graph-Theoretical Methods in Computer Vision
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ICCV
2003
IEEE
16 years 8 months ago
A Novel Approach For Texture Shape Recovery
In vision and graphics, there is a sustained interest in capturing accurate 3D shape with various scanning devices. However, the resulting geometric representation is only part of...
Jing Wang 0008, Kristin J. Dana
ECCV
2008
Springer
16 years 8 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher
ECCV
2002
Springer
16 years 8 months ago
Automatic Camera Calibration from a Single Manhattan Image
We present a completely automatic method for obtaining the approximate calibration of a camera (alignment to a world frame and focal length) from a single image of an unknown scene...
J. Deutscher, Michael Isard, John MacCormick
ICPR
2006
IEEE
16 years 8 months ago
Chaining Planar Homographies for Fast and Reliable 3D Plane Tracking
This paper addresses the problem of tracking a 3D plane over a sequence of images acquired by a free moving camera, a task that is of central importance to a wide variety of visio...
Manolis I. A. Lourakis, Antonis A. Argyros
ICPR
2010
IEEE
16 years 1 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...