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» Computer Vision: Algorithms and Applications
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CVPR
2012
IEEE
11 years 11 months ago
Unsupervised metric fusion by cross diffusion
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
TIP
2008
208views more  TIP 2008»
13 years 9 months ago
Vision Processing for Realtime 3-D Data Acquisition Based on Coded Structured Light
Structured light vision systems have been successfully used for accurate measurement of 3-D surfaces in computer vision. However, their applications are mainly limited to scanning ...
S. Y. Chen, Y. F. Li, Jianwei Zhang
ICCV
2011
IEEE
12 years 9 months ago
The Generalized Trace-Norm and its Application to Structure-from-Motion Problems
In geometric computer vision, the structure from motion (SfM) problem can be formulated as a optimization problem with a rank constraint. It is well known that the trace norm of a...
Roland Angst, Christopher Zach, Marc Pollefeys
CVPR
2007
IEEE
14 years 11 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
ISVC
2007
Springer
14 years 3 months ago
Blur in Human Vision and Increased Visual Realism in Virtual Environments
Abstract. A challenge for virtual reality (VR) applications is to increase the realism of an observer’s visual experience. For this purpose the variation of the blur an observer ...
Michael S. Bittermann, I. Sevil Sariyildiz, Ö...