Paper Title:
Epipolar Geometry Estimation Using Improved LO-RANSAC
  Abstract

The estimation of the epipolar geometry is of great interest for a number of computer vision and robotics tasks, and which is especially difficult when the putative correspondences include a low percentage of inliers correspondences or a large subset of the inliers is consistent with a degenerate configuration of the epipolar geometry that is totally incorrect. The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation, primarily due to its ability to tolerate a tremendous fraction of outliers. In this paper, we propose an approach for improve of locally optimized RANSAC (LO-RANSAC) that has the benefit of offering fast and accurate RANSAC. The resulting algorithm when tested on real images with or without degenerate configurations gives quality estimations and achieves significant speedups compared to the LO-RANSAC algorithms.

  Info
Periodical
Edited by
Zhang Yushu
Pages
255-259
DOI
10.4028/www.scientific.net/AMR.213.255
Citation
J. Zhou, "Epipolar Geometry Estimation Using Improved LO-RANSAC", Advanced Materials Research, Vol. 213, pp. 255-259, 2011
Online since
February 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jun Zhang, Kan Yu Zhang
Chapter 19: Modeling, Analysis, and Simulation of Manufacturing Processes II
Abstract:Good dynamic performance of a system have great significance in the traditional sense, furthermore,it is more important at the point of...
4768
Authors: Si Lian Xie, Tie Bin Wu, Shui Ping Wu, Yun Lian Liu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:Evolutionary algorithms are amongst the best known methods of solving difficult constrained optimization problems, for which traditional...
2846
Authors: Xue Feng Wu, Yu Fan
Chapter 6: Mechatronics
Abstract:A new algorithms for parameters of an image irregular boundary circle parameters is presented, which is based on “Curve-Approximate Method”...
639
Authors: Jian Xue Chen, Shui Yu
Chapter 4: Mechatronics and Automation Manufacturing Systems, Control Technologies
Abstract:Combining ant colony optimization (ACO) algorithm with back-propagation (BP) algorithm, the ACO-BP algorithm is proposed to optimize shift...
553
Authors: Fang Li, Yu Wang, Ying Chun Zhong, Zhi Tan
Chapter 16: Application of Information and Network Technology
Abstract:An optimization of multi-varieties and small-batch of production scheduling is proposed, which is embodied the utilization ratio of...
3177