Improved marching tetrahedra algorithm based on hierarchical signed distance field and multi-scale depth map fusion for 3D reconstruction |
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| Affiliation: | 1. School of Computer and Information, Hefei University of Technology, Hefei, China;2. School of Information Engineering, Wuhan University of Technology, Wuhan, China;3. Huazhong University of Science and Technology, Wuhan, China;1. School of Information Science and Engineering, Lanzhou University, Lanzhou, China;2. Faculty of Science and Technology, Bournemouth University, UK;1. Beihang University, Beijing, China;2. Anhui University, Hefei 230601, China;3. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China;1. College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China;2. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China;1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China;2. Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK;1. School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, PR China;2. Dept. of Computer Science, University College London, London WC1E 6EA, UK;3. National Key Laboratory of Science and Technology on Aerospace Intelligence Control, Beijing, PR China;4. Department of Computer Science, School of Science at Loughborough University, UK;5. Department of Information Engineering and Computer Science, University of Trento, Italy |
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| Abstract: | 3D reconstruction systems are promoted by developments of both computer hardware and computing technologies. They still remain problems like high expense, low efficiency and inaccuracy. Especially for large-scale scenes, lack of full use of multi-scale depth information will cause blurring and irreal reconstruction results. To solve this problem, we construct the structure of hierarchical signed distance field (H-SDF) and design an improved marching tetrahedra algorithm for multi-scale depth map fusion. In addition, to improve efficiency, we also propose a two-phase search strategy in image feature matching: the bag-of-features model (BOF) is adopted in a coarse search to narrow search scope and then the SIFT descriptor is used in exact matching to pick reconstruction image points. Experiment results indicate that coarse search makes matching time shorter; using the H-SDF to fuse multi-scale depth maps, and isosurface extraction with improved marching tetrahedra algorithm can improve visual effect. |
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| Keywords: | 3D reconstruction Surface reconstruction Depth map fusion Hierarchical signed distance field Feature matching |
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