A 3D vision system for high resolution surface reconstruction

被引：0
|
作者：
Marani, Roberto [1 ]
Roselli, Giuseppe [1 ]
Nitti, Massimiliano [1 ]
Cicirelli, Grazia [1 ]
D'Orazio, Tiziana [1 ]
Stella, Ettore [1 ]
机构：
[1] Inst Intelligent Syst Automat ISSIA CNR, Via Amendola 122 DO, I-70126 Bari, Italy
来源：
2013 SEVENTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST) | 2013年
关键词：
3D laser triangulation scanners; High resolution 3D surface reconstruction; Surface defects; Quality control; visual occlusion recovery;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper a fast and innovative three-dimensional vision system, having high resolution in the surface reconstruction, is discussed. It is based on a triangulation 3D laser scanner with a linear beam shape. The high precision (few microns) is guaranteed by very small laser line width, small camera pixel-size and proper optical properties of the Telecentric Lens. The entire system has been tested on two kinds of sample objects such as a 20 cent coin and a set of precision drilling tools. The main purpose of this work is the detection and reconstruction of the 3D surface of tiny objects and the measurement of their surface defects with high accuracy. Furthermore the occlusion problem is faced and solved by properly handling the camera-laser setup. Experimental tests prove the high precision of the system that can reach a resolution of 15 mu m.
引用
收藏
页码：157 / 162
页数：6
相关论文
共 50 条
  • [1] Vision based occupant detection system by monocular 3D surface reconstruction
    Yoon, JJ
    Koch, C
    Ellis, TJ
    [J]. ITSC 2004: 7TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, 2004, : 435 - 440
  • [2] 3D Surface Reconstruction Based on Binocular Vision
    Li, Xuesheng
    Qin, Kaiyu
    Yao, Ping
    Yu, Jun
    Wu, Wenjie
    Chen, Lu
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014), 2014, : 1861 - 1865
  • [3] 3D Reconstruction of Surface Based on Binocular Vision
    Hu, Xiaoping
    Peng, Tao
    Xie, Ke
    [J]. SIXTH INTERNATIONAL SYMPOSIUM ON PRECISION MECHANICAL MEASUREMENTS, 2013, 8916
  • [4] High resolution reconstruction for 3D SPECT
    Li, TF
    Wen, JH
    Lu, HB
    Li, X
    Liang, ZR
    [J]. MEDICAL IMAGING 2003: IMAGE PROCESSING, PTS 1-3, 2003, 5032 : 1894 - 1900
  • [5] A vision system for fast 3D model reconstruction
    Lin, HY
    Subbarao, M
    [J]. 2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2001, : 663 - 668
  • [6] A Bayesian approach to high resolution 3D surface reconstruction from multiple images
    Morris, RD
    Cheeseman, P
    Smelyanskiy, VN
    Maluf, DA
    [J]. PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS, 1999, : 140 - 143
  • [7] 3D reconstruction approach in neuro-vision system
    Xiong, YG
    Hu, HF
    [J]. OPTICAL MEASUREMENT AND NONDESTRUCTIVE TESTING: TECHNIQUES AND APPLICATIONS, 2000, 4221 : 331 - 342
  • [8] Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling
    Gibbs, Jonathon A.
    Pound, Michael P.
    French, Andrew P.
    Wells, Darren M.
    Murchie, Erik H.
    Pridmore, Tony P.
    [J]. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 17 (06) : 1907 - 1917
  • [9] Surface Defect 3D Reconstruction of Object Based on Binocular Vision
    Wu, Zai-Xin
    Guan, Yi
    Yao, Feng-Wei
    Yan, Cheng-Zhi
    [J]. 2016 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND CONTROL AUTOMATION (ICMECA 2016), 2016, : 519 - 524
  • [10] 3D Reconstruction of Weak Texture Surface Based On Binocular Vision
    Fan, Fang
    Wang, Zhenwei
    Liu, Shuangyin
    Tian, Ye
    [J]. Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology (ICMIT), 2016, 49 : 125 - 128
12345