| Projection-aided videometric method for shape measurement of large-scale bulk material stockpile. | |
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MedLine Citation:
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PMID: 21947001 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Large-scale stockpiles are a common means for the storage of bulk material and their shape measurement is a prerequisite for effective transportation and logistics management. This paper proposes a projection-aided videometric method that is based on stereo vision and makes use of projections and epipolar geometry constraints to solve the correspondence problem. A prototype measuring system was developed that can work in real time and achieve measuring accuracy of 0.71 mm in terms of the flatness deviation and 0.54 mm in terms of the depth error, as proven by the experimental results. |
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Authors:
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Xiaohu Zhang; Jianliang Ou; Yun Yuan; Yang Shang; Qifeng Yu |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Applied optics Volume: 50 ISSN: 1539-4522 ISO Abbreviation: Appl Opt Publication Date: 2011 Sep |
Date Detail:
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Created Date: 2011-09-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0247660 Medline TA: Appl Opt Country: United States |
Other Details:
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Languages: eng Pagination: 5178-84 Citation Subset: IM |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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