IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Zhaolu Zuo, Jie Wang, Jing Wang
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引用次数: 0

摘要

立体摄像机已广泛应用于三维(3D)重建、目标测距和环境感知。立体相机的校准是视觉系统的关键技术。由于受到摄像机重叠视场(FOV)大小和散焦程度的限制,现有的大多数方法都不够灵活。本文提出了一种立体校准方法,通过相位编码方法对目标上的特征点进行全局编码。每个特征点都有特定的编码,图像坐标和世界坐标之间的映射关系可以唯一确定。因此,无论立体摄像机是否捕捉到目标的同一区域,两台摄像机的坐标系都可以统一在一个全局坐标系下。此外,当摄像机严重失焦时也能完成校准,因为特征点的编码和提取都是基于相位的。为了证明所提方法的灵活性和鲁棒性,我们进行了模拟和实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stereo Calibration of Non-Overlapping FOV Cameras With Phase-Shifting Wedge Grating

Stereo cameras have been widely used in three-dimensional (3D) reconstruction, target ranging and environment perception. The calibration of stereo cameras is the key technology of vision system. Most of the existing methods are not flexible due to limitations of the size of the cameras' overlapping fields of view (FOV) and the degree of defocus. This paper presents a stereo calibration method in which the feature points on the target are globally encoded by the phase-coding method. Each feature point has a specific code, and the mapping relationship between image coordinates and world coordinates can be uniquely determined. So, the stereo cameras whether or not capture the same area of the target, both the camera coordinate systems can be unified under one global coordinate system. In addition, calibration can be accomplished when cameras are out of focus seriously, for the coding and extraction of feature points are phase-based. Simulations and experiments were carried out to prove flexibility and robustness of the proposed method.

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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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