3D Scene Reconstruction Based on Mismatching Eliminating Algorithm

doi:10.16182/j.issn1004731x.joss.201711007

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.

Key words: 3D reconstruction, mismatching eliminating, RANSAC, estimated parameters

CLC Number:

TP391.72

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

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