3D Scene Reconstruction Based on Mismatching Eliminating Algorithm

Authors

Liping Lin, School of Information, Yunnan Normal University, Kunming 650500, China;
Yaping Zhang, School of Information, Yunnan Normal University, Kunming 650500, China;

Abstract

Abstract: For the case of mismatching in feature detection and matching based on SIFT algorithm, a method based on RANSAC is proposed in this paper to eliminate false matches. RANSAC treats all input data differently. An objective function is created and its parameters are estimated by iterative algorithm. All the data are divided into two categories based on the estimated parameters and the points that satisfy the estimated parameters are reserved and the points which do not satisfy the estimated parameters are eliminated. And then the function parameters are re-estimated with all the satisfied points. Experiment results show that this method can effectively eliminate the mismatching points in the 3D model.

Recommended Citation

Lin, Liping and Zhang, Yaping (2020) "3D Scene Reconstruction Based on Mismatching Eliminating Algorithm," Journal of System Simulation: Vol. 29: Iss. 11, Article 7.
DOI: 10.16182/j.issn1004731x.joss.201711007
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/7

First Page

2644

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201711007

Last Page

2648

CLC

TP391.72

Recommended Citation

Lin Liping, Zhang Yaping. 3D Scene Reconstruction Based on Mismatching Eliminating Algorithm[J]. Journal of System Simulation, 2017, 29(11): 2644-2648.

DOI

10.16182/j.issn1004731x.joss.201711007