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Sensors 2017, 17(7), 1689; https://doi.org/10.3390/s17071689

3D Reconstruction of Space Objects from Multi-Views by a Visible Sensor

1,2,* , 1,2
and
1,2,*
1
Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China
2
Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China
*
Authors to whom correspondence should be addressed.
Received: 1 June 2017 / Revised: 20 July 2017 / Accepted: 20 July 2017 / Published: 22 July 2017
(This article belongs to the Special Issue Imaging Depth Sensors—Sensors, Algorithms and Applications)
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Abstract

In this paper, a novel 3D reconstruction framework is proposed to recover the 3D structural model of a space object from its multi-view images captured by a visible sensor. Given an image sequence, this framework first estimates the relative camera poses and recovers the depths of the surface points by the structure from motion (SFM) method, then the patch-based multi-view stereo (PMVS) algorithm is utilized to generate a dense 3D point cloud. To resolve the wrong matches arising from the symmetric structure and repeated textures of space objects, a new strategy is introduced, in which images are added to SFM in imaging order. Meanwhile, a refining process exploiting the structural prior knowledge that most sub-components of artificial space objects are composed of basic geometric shapes is proposed and applied to the recovered point cloud. The proposed reconstruction framework is tested on both simulated image datasets and real image datasets. Experimental results illustrate that the recovered point cloud models of space objects are accurate and have a complete coverage of the surface. Moreover, outliers and points with severe noise are effectively filtered out by the refinement, resulting in an distinct improvement of the structure and visualization of the recovered points. View Full-Text
Keywords: space object; 3D structural model; 3D reconstruction; structure from motion; point cloud refinement space object; 3D structural model; 3D reconstruction; structure from motion; point cloud refinement
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Zhang, H.; Wei, Q.; Jiang, Z. 3D Reconstruction of Space Objects from Multi-Views by a Visible Sensor. Sensors 2017, 17, 1689.

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