Using Laser Measuring and SFM Algorithm for Fast 3D Reconstruction of Objects


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Abstract

Effective measurement of the reflective or transparent surface of an object has always been a disadvantage in laser scanning modeling. We propose a fast and complete three-dimensional (3D) reconstruction method for small static objects using laser scanning and the structure from motion (SFM) algorithm. Meanwhile, a complete reconstruction workflow is designed and a multi-angle 3d reconstruction system is set up. To generate the complete point cloud model of the object, the SFM algorithm is used to reconstruct the surface part of the object, the data for which cannot be obtained by the laser measuring instrument. The experimental results show that this method not only improves the speed, accuracy, integrity, and visual effect of 3D reconstruction of small objects, but also extends the scope of 3D reconstruction of laser measurement.

About the authors

Shuaihao Li

School of Computer Science, Wuhan University

Email: chenmin@whu.edu.cn
China, Wuhan, 430072

Yanxiang He

School of Computer Science, Wuhan University

Email: chenmin@whu.edu.cn
China, Wuhan, 430072

Qianqian Li

School of Computer Science, Wuhan University

Email: chenmin@whu.edu.cn
China, Wuhan, 430072

Min Chen

School of Computer Science, Wuhan University

Author for correspondence.
Email: chenmin@whu.edu.cn
China, Wuhan, 430072

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