Analysis on Location Accuracy for the Binocular Stereo Vision System

Bibliographic Details
Title: Analysis on Location Accuracy for the Binocular Stereo Vision System
Authors: Lu Yang, Baoqing Wang, Ronghui Zhang, Haibo Zhou, Rongben Wang
Source: IEEE Photonics Journal, Vol 10, Iss 1, Pp 1-16 (2018)
Publisher Information: IEEE, 2018.
Publication Year: 2018
Collection: LCC:Applied optics. Photonics
LCC:Optics. Light
Subject Terms: Binocular stereo vision system, location accuracy, camera calibration parameter, system structure parameter, applied optics, Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467
More Details: Binocular stereo vision (BSV) system has been widely used in various fields, such as intelligent manufacture, smart robot, and so on. However, the location accuracy of the current BSV still cannot fully satisfy industry requirements due to lack of a parameters optimization BSV system. In this paper, a high accuracy BSV system is proposed. This is achieved through analyzing the seven parameters of the BSV system, which are classified into two groups: system structure parameters (SSPs) and camera calibration parameters (CCPs). For the SSPs, an improved analysis model is designed to expose the possible errors caused by three parameters. Furthermore, a new correlation model among them is also proposed to analyze the errors caused by their correlation. On the other hand, for the CCPs, the orthogonal experiment model is employed for selecting the optimal combination of the four calibration parameters. Meanwhile, the weight among the four parameters is also analyzed for reducing errors. Finally, the effectiveness of our proposed method is demonstrated by a large number of experiments. It gives a useful reference to the BSV system used in applied optics research and application fields.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1943-0655
Relation: https://ieeexplore.ieee.org/document/8226805/; https://doaj.org/toc/1943-0655
DOI: 10.1109/JPHOT.2017.2784958
Access URL: https://doaj.org/article/c34718e8faa749e1a2599df943db29fb
Accession Number: edsdoj.34718e8faa749e1a2599df943db29fb
Database: Directory of Open Access Journals
More Details
ISSN:19430655
DOI:10.1109/JPHOT.2017.2784958
Published in:IEEE Photonics Journal
Language:English