Tensor Completion based 3D Reconstruction of Binocular Stereo Vision
Liu,Ze Hua1; Rong,Hai Jun1; Yang,Zhao Xu1; Yang,Zhi Xin2
Source PublicationIEEE International Conference on Industrial Engineering and Engineering Management
AbstractBinocular stereo vision is a common way for 3D reconstruction of objects, which is core technology in the fields of computer-aided geometric design, machine vision and so on. However, the conventional binocular stereo vision algorithms are very sensitive to the ambient lighting, restricting their further promotion. The method of tensor completion, applied to the progress of preprocessing the captured binocular image, provides a way to solve this problem. In this paper, a binocular stereo vision algorithm that uses low-rank tensor completion to perform 3D reconstruction is presented. In the pictures, the positions where the ambient illumination are strong are regarded as information that cannot be observed, and the others are regarded as observable information. The unobservable information will be completed using the observable information based on tensor completion. The results show that the 3D reconstruction results obtained using tensor completion are better than those without tensor completion.
Keyword3D reconstruction binocular stereo vision tensor completion
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.State Key Laboratory for Strength and Vibration of Mechanical Structures,Shaanxi Key Laboratory of Environment and Control for Flight Vehicle,School of Aerospace,Xi'an Jiao Tong University,Shaanxi,710049,China
2.State Key Laboratory of Internet of Things for Smart City,Faculty of Science and Technology,University of Macau,Department of Electromechanical Engineering,Macao
Recommended Citation
GB/T 7714
Liu,Ze Hua,Rong,Hai Jun,Yang,Zhao Xu,et al. Tensor Completion based 3D Reconstruction of Binocular Stereo Vision[C],2019:968-972.
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