Camera Motion Estimation and optimization Approach

A camera motion estimation method based on feature matching for low-power processing platform is proposed in this paper. The proposed method is more effective than the previous methods that utilizes epipolar constraint, and provides a better time efficiency than epipolar constraint based method. Exp...

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Bibliographic Details
Published inInternational Conference on Advanced Mechatronic Systems pp. 212 - 217
Main Authors Meng, Zelin, Kong, Xiangbo, Meng, Lin, Tomiyama, Hiroyuki
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2019
Subjects
Cameras
computer vision
Feature extraction
feature matching
Matrix decomposition
Motion estimation
Optimization
Robot vision systems
Transmission line matrix methods
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ISSN2325-0690
DOI10.1109/ICAMechS.2019.8861680

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Summary:A camera motion estimation method based on feature matching for low-power processing platform is proposed in this paper. The proposed method is more effective than the previous methods that utilizes epipolar constraint, and provides a better time efficiency than epipolar constraint based method. Experimental results indicate the proposal saves 10% of the time consumption than previous method. In addition, this paper constructs a least squares model of camera re-projection error. On this basis, Levenburg-Marquart gradient descent method is employed to minimize the re-projection error. The experimental results show that the employed optimization method improves the accuracy of camera motion estimation about 10%.
ISSN:2325-0690
DOI:10.1109/ICAMechS.2019.8861680