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» A Bayesian Approach to the Stereo Correspondence Problem
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CVPR
2008
IEEE
14 years 9 months ago
What can missing correspondences tell us about 3D structure and motion?
Practically all existing approaches to structure and motion computation use only positive image correspondences to verify the camera pose hypotheses. Incorrect epipolar geometries...
Christopher Zach, Arnold Irschara, Horst Bischof
ICPR
2004
IEEE
14 years 8 months ago
Pruning Local Feature Correspondences Using Shape Context
We propose a novel approach to improve the distinctiveness of local image features without significantly affecting their robustness with respect to image deformations. Local image...
Allan D. Jepson, Gustavo Carneiro
ICCV
2003
IEEE
14 years 9 months ago
Entropy-of-likelihood Feature Selection for Image Correspondence
Feature points for image correspondence are often selected according to subjective criteria (e.g. edge density, nostrils). In this paper, we present a general, non-subjective crit...
Matthew Toews, Tal Arbel
CVPR
2006
IEEE
14 years 9 months ago
Structure and View Estimation for Tomographic Reconstruction: A Bayesian Approach
This paper addresses the problem of reconstructing the density of a scene from multiple projection images produced by modalities such as x-ray, electron microscopy, etc. where an ...
Satya P. Mallick, Sameer Agarwal, David J. Kriegma...
ICCV
2011
IEEE
12 years 7 months ago
Color Photometric Stereo for Multicolored Surfaces
We present a multispectral photometric stereo method for capturing geometry of deforming surfaces. A novel photometric calibration technique allows calibration of scenes containin...
Robert Anderson, Bjorn Stenger, Roberto Cipolla