Automatic 3D color shape measurement system based on a stereo camera
This study proposes an automatic three-dimensional (3D) color shape measurement system based on images recorded by a stereo camera. The system, comprising several off-the-shelf components, is cost-effective yet capable of obtaining quality color 3D objects. In the proposed system, a turntable carryi...
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Published in | Applied optics. Optical technology and biomedical optics Vol. 59; no. 7; p. 2086 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
United States
01.03.2020
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Abstract | This study proposes an automatic three-dimensional (3D) color shape measurement system based on images recorded by a stereo camera. The system, comprising several off-the-shelf components, is cost-effective yet capable of obtaining quality color 3D objects. In the proposed system, a turntable carrying a checkerboard is used to assist the simultaneous calibration of the stereo camera and the turntable. A slit laser is driven to swing forward and backward for generating stripes on test objects. The stereo images are collected and analyzed for obtaining matching pixels, and, consequently, the 3D point coordinates based on epipolar geometry are obtained. Screened Poisson reconstruction is utilized to integrate and smooth the scanned surfaces. With additional color images from the same camera, several multi-view texturing methods are benchmarked. We concluded that our proposed system can successfully and automatically reconstruct quality 3D color shapes of various objects. |
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AbstractList | This study proposes an automatic three-dimensional (3D) color shape measurement system based on images recorded by a stereo camera. The system, comprising several off-the-shelf components, is cost-effective yet capable of obtaining quality color 3D objects. In the proposed system, a turntable carrying a checkerboard is used to assist the simultaneous calibration of the stereo camera and the turntable. A slit laser is driven to swing forward and backward for generating stripes on test objects. The stereo images are collected and analyzed for obtaining matching pixels, and, consequently, the 3D point coordinates based on epipolar geometry are obtained. Screened Poisson reconstruction is utilized to integrate and smooth the scanned surfaces. With additional color images from the same camera, several multi-view texturing methods are benchmarked. We concluded that our proposed system can successfully and automatically reconstruct quality 3D color shapes of various objects. |
Author | Lin, Tzung-Han |
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CitedBy_id | crossref_primary_10_1364_AO_409400 crossref_primary_10_1016_j_measurement_2023_113259 crossref_primary_10_7717_peerj_cs_485 crossref_primary_10_1007_s42452_021_04309_w crossref_primary_10_1109_JMEMS_2020_3047774 crossref_primary_10_1364_AO_502901 crossref_primary_10_1364_OE_393981 crossref_primary_10_1364_AO_417533 crossref_primary_10_1063_5_0068979 crossref_primary_10_1016_j_optlaseng_2023_107598 |
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Snippet | This study proposes an automatic three-dimensional (3D) color shape measurement system based on images recorded by a stereo camera. The system, comprising... |
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