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2018 | OriginalPaper | Chapter

Target Depth Measurement for Machine Monocular Vision

Authors : Jiafa Mao, Mingguo Zhang, Linan Zhu, Cong Bai, Gang Xiao

Published in: Advances in Multimedia Information Processing – PCM 2017

Publisher: Springer International Publishing

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Abstract

Most of the existing machine vision positioning technology focused on the technology of double camera geometric positioning, or use a single camera plus non-visual sensor technology for positioning. These two technologies achieve the precise positioning by increasing the amount of data and sacrificing processing speed. In this paper, a new method of target depth measurement for machine monocular vision is proposed. According to the imaging model of the camera, the imaging parameters of the camera (such as focal length, field of view, equivalent focal length, etc.), and the basic principle of analog signal to digital signal, we derived a relationship model between the target depth, field of view, equivalent focal length and the camera resolution. Under the condition of the height of the camera and the height of the target are known, the target depth analysis is carried out. The algorithm shows that our method could effectively locate the target depth.

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Metadata
Title
Target Depth Measurement for Machine Monocular Vision
Authors
Jiafa Mao
Mingguo Zhang
Linan Zhu
Cong Bai
Gang Xiao
Copyright Year
2018
Book
Advances in Multimedia Information Processing – PCM 2017

Print ISBN: 978-3-319-77382-7

Electronic ISBN: 978-3-319-77383-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-77383-4_57