Catadioptric stereo-vision system using a spherical mirror

被引:13
作者
Barone, S. [1 ]
Neri, P. [1 ]
Paoli, A. [1 ]
Razionale, A. V. [1 ]
机构
[1] Univ Pisa, Dept Civil & Ind Engn, Largo L Lazzarino 1, I-56122 Pisa, Italy
来源
AIAS2017 - 46TH CONFERENCE ON STRESS ANALYSIS AND MECHANICAL ENGINEERING DESIGN | 2018年 / 8卷
关键词
3D acquisition; structured light scanning; catadioptric stereo vision system; spherical mirror projection model; internal geometries acquisition; CALIBRATION; PROJECTION; PARAMETERS;
D O I
10.1016/j.prostr.2017.12.010
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In the computer vision field, the reconstruction of target surfaces is usually achieved by using 3D optical scanners assembled integrating digital cameras and light emitters. However, these solutions are limited by the low field of view, which requires multiple acquisition from different views to reconstruct complex free-form geometries. The combination of mirrors and lenses (catadioptric systems) can be adopted to overcome this issue. In this work, a stereo catadioptric optical scanner has been developed by assembling two digital cameras, a spherical mirror and a multimedia white light projector. The adopted configuration defines a non-single viewpoint system, thus a non-central catadioptric camera model has been developed. An analytical solution to compute the projection of a scene point onto the image plane (forward projection) and vice-versa (backward projection) is presented. The proposed optical setup allows omnidirectional stereo vision thus allowing the reconstruction of target surfaces with a single acquisition. Preliminary results, obtained measuring a hollow specimen, demonstrated the effectiveness of the described approach. Copyright (C) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:83 / 91
页数:9
相关论文
共 50 条
  • [31] Three-dimensional catadioptric vision sensor using omnidirectional dot matrix projection
    Zhou, Fuqiang
    Chen, Xin
    Tan, Haishu
    Chai, Xinghua
    CHINESE OPTICS LETTERS, 2016, 14 (11)
  • [32] 3D global optimization of calibration parameters of deflectometry system by using a spherical mirror
    Gao, Yiqian
    Tian, Ziyang
    Wei, Haoyun
    Li, Yan
    MEASUREMENT, 2023, 219
  • [33] A Scheimpflug conditions-based binocular stereo vision system
    Shao, Mingwei
    Ma, Hailong
    Chen, Jianjun
    JOURNAL OF OPTICS-INDIA, 2024, 53 (05): : 4709 - 4720
  • [34] Research on Calibration Method of The Panoramic Stereo Sphere Vision System
    Zhu, Junchao
    Li, Yongchen
    Liu, Chang
    Ma, Zhijun
    Zhang, Baofeng
    2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2015, : 2346 - 2351
  • [35] STEREO VISION MOBILE MAPPING: SYSTEM DESIGN AND PERFORMANCE EVALUATION
    Burkhard, J.
    Cavegn, S.
    Barmettler, A.
    Nebiker, S.
    XXII ISPRS CONGRESS, TECHNICAL COMMISSION V, 2012, 39-B5 : 453 - 458
  • [36] Refraction error analysis in stereo vision for system parameters optimization
    Tong, Zixiang
    Gu, Liuning
    Shao, Xinxing
    MEASUREMENT, 2023, 222
  • [37] Calibration of a Dual-PTZ-Camera System for Stereo Vision
    Chang, Yau-Zen
    Hou, Jung-Fu
    Tsao, Yi Hsiang
    Lee, Shih-Tseng
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXIII, 2010, 7798
  • [38] Effective Data-Driven Calibration for a Galvanometric Laser Scanning System Using Binocular Stereo Vision
    Tu, Junchao
    Zhang, Liyan
    SENSORS, 2018, 18 (01):
  • [39] Flatness Measurement of Platform Screen System Welding Assembly Using Stereo Vision and Grid Pattern Projector
    Chen, Shengfeng
    Su, Chongyang
    Liu, Jian
    Chen, Bing
    Tian, Qi
    IEEE SENSORS JOURNAL, 2022, 22 (01) : 948 - 958
  • [40] A flexible 3D scanning system using convergent stereo vision integrated with an industrial manipulator
    Thanh Nhat Luong
    Vo Hoang Hung Do
    Quoc Chi Nguyen
    2021 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE BIG DATA AND INTELLIGENT SYSTEMS (HPBD&IS), 2021, : 167 - 171