NDLI: A kind of stereovision measurement device based on binocular omni-directional vision sensor

Content Provider	IEEE Xplore Digital Library
Author	Tang Yi-ping Liang Yan Yang Guan-bao Zhou Zong-si Zhu Yi-hua
Copyright Year	2008
Description	Author affiliation: Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou (Tang Yi-ping; Liang Yan; Yang Guan-bao; Zhou Zong-si; Zhu Yi-hua)
Abstract	In order to achieve the real-time, convenient, automatic and intelligent 3D vision measurement, this paper proposes a 3D vision measurement method based on binocular omni-directional vision sensor (ODVS), which can get the 3D panoramic image in real-time, this paper considers the human eyes as the center of vision space. At the process of gathering, processing, describing and expressing of data, this paper adopts a kind of uniform coordinate based on Gauss spherical coordinates, adopts a kind of design using ODVS having average angle resolution, and combines two ODVS having the same parameters into one. In this paper, we present the design method and experimental results. The experimental results indicate that our research results, can simplify the complexity of 3D visionpsilas measurement, can make feature extraction more convenient, can make the realization of the match of 3D images easier, and finally achieves a 3D vision measurement which is high efficient, real-time and accurate. The paper has important value on stereoscopic 3D measurement and 3D image reconstruction.
Starting Page	135
Ending Page	141
File Size	819945
Page Count	7
File Format	PDF
ISBN	9781424421763
DOI	10.1109/ICSENST.2008.4757088
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-30
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	omni-directional visional sensor gauss spherical coordinates Area measurement Humans average angle resolution Calibration image matching Intelligent sensors Image sensors Image matching Layout stereoscopic measurement Feature extraction Cameras Stereo vision
Content Type	Text
Resource Type	Article

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