Sciweavers

436 search results - page 26 / 88
» Image Reconstruction by Linear Programming
Sort
View
91
Voted
MVA
2007
110views Computer Vision» more  MVA 2007»
15 years 4 months ago
Improving Accuracy of 3-D Reconstruction by Classifying Correspondences
In this paper, we show that we can improve accuracies of 3-D reconstructions with uncalibrated stereo by classifying correspondences between two images. After obtaining initial co...
Yusuke Takanashi, Yohei Shibata, Yasushi Kanazawa
CRV
2006
IEEE
90views Robotics» more  CRV 2006»
15 years 8 months ago
Photo Hull Regularized Stereo
A regularization-based approach to 3-D reconstruction from multiple images is proposed. As one of the most widely used multiple-view 3-D reconstruction algorithms, Space Carving c...
Shufei Fan, Frank P. Ferrie
96
Voted
ICIP
1995
IEEE
16 years 4 months ago
Parallel computation of sequential pixel updates in statistical tomographic reconstruction
While Bayesian methods can significantly improve the quality of tomographic reconstructions, they require the solution of large iterative optimization problems. Recent results ind...
Ken D. Sauer, S. Borman, Charles A. Bouman
105
Voted
CVPR
1999
IEEE
16 years 4 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
ISBI
2006
IEEE
16 years 3 months ago
Two probabilistic algorithms for MEG/EEG source reconstruction
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data from a source at a particular voxel is expressed as the product of a known lead ...
Johanna M. Zumer, Hagai Attias, Kensuke Sekihara, ...