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» Structure from Motion with Missing Data is NP-Hard
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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
CEC
2010
IEEE
13 years 8 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne
ICCV
2003
IEEE
14 years 9 months ago
A Non-Iterative Greedy Algorithm for Multi-frame Point Correspondence
This paper presents a framework for finding point correspondences in monocular image sequences over multiple frames. The general problem of multi-frame point correspondence is NP ...
Khurram Shafique, Mubarak Shah
ICCV
2011
IEEE
12 years 7 months ago
Automated Articulated Structure and 3D Shape Recovery from Point Correspondences
In this paper we propose a new method for the simultaneous segmentation and 3D reconstruction of interest point based articulated motion. We decompose a set of point tracks into r...
Joao Fayad, Chris Russell, Lourdes Agapito
CVPR
1996
IEEE
14 years 9 months ago
Determining Correspondences and Rigid Motion of 3-D Point Sets with Missing Data
This paper addresses the general 3-D rigid motion problem, where the point correspondences and the motion parameters between two sets of 3-D points are to be recovered. The existe...
Xiaoguang Wang, Yong-Qing Cheng, Robert T. Collins...