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» Randomness and Geometric Features in Computer Vision
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CVPR
2010
IEEE
13 years 10 months ago
Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Shubao Liu, David Cooper
ACCV
1998
Springer
13 years 12 months ago
VR Models from Epipolar Images: An Approach to Minimize Errors in Synthesized Images
A new paradigm, the minimization of errors in synthesized images, is introduced to organically combine Computer Vision and Computer Graphics for Virtual Reality applications. Based...
Mikio Shinya, Takafumi Saito, Takeaki Mori, Noriyo...
DAGSTUHL
2011
12 years 7 months ago
Feature Extraction for DW-MRI Visualization: The State of the Art and Beyond
By measuring the anisotropic self-diffusion rates of water, Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) provides a unique noninvasive probe of fibrous tissue. In par...
Thomas Schultz
CVPR
2011
IEEE
13 years 2 months ago
Feature Guided Motion Artifact Reduction with Structure-Awareness in 4D CT Images
In this paper, we propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the l...
Dongfeng Han, John Bayouth, Qi Song, sudershan Bha...
IJCV
2011
152views more  IJCV 2011»
13 years 2 months ago
Recovering Occlusion Boundaries from an Image
Occlusion reasoning is a fundamental problem in computer vision. In this paper, we propose an algorithm to recover the occlusion boundaries and depth ordering of free-standing str...
Derek Hoiem, Alexei A. Efros, Martial Hebert