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Surface Reconstruction Using the Rapid Segmentation and Optimization Method

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We present a system for accurate reconstruction of a complex face model using only a moving low-cost depth camera and optimization algorithm. In this paper, we introduce a method to minimize the error of the depth images on the signed distance function (SDF). As the signed distance function contains the distances to the surface for each voxel, the camera coordinate estimation can be carried out rapidly with Levenberg-Marquardt that uses the camera pose and the preprocess data in the voxel grid. With this proposed method, a detailed reconstruction of an object can be achieved.
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Keywords: 3D Reconstruction; Levenberg Marquardt; Signed Distance Function

Document Type: Research Article

Affiliations: 1: School of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, Korea 2: Dept. of Media Engineering, Tongmyong University, 428, Sinseon-ro, Nam-gu, Busan 48520, Korea

Publication date: November 1, 2016

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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