A improved method of matching point extracting for vision sensor and LMS space alignment

Zhi Hong Deng; Ming Yang Liu; Meng Yin Fu

A improved method of matching point extracting for vision sensor and LMS space alignment

Zhi Hong Deng^*, Ming Yang Liu, Meng Yin Fu

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

5 引用（Scopus）

摘要

Space alignment is the first step in data fusion for vision sensor and LMS. Point matching and plane matching are commonly used in space alignment of vision sensor and LMS. But the precision of point matching method is hardly improved, since mixed pixel and matching point loss in non-structure space. Mixed pixel and matching point loss in non-structure space are analyzed. A method for matching point extracting by modeling of pattern and LMS laser is proposed. The result is verified and space alignment precision is compared. The simulated results show that this algorithm can improve the precision of point matching method, and finally the performance of point matching method is improved.

源语言	英语
页（从-至）	43-47
页数	5
期刊	Guangxue Jishu/Optical Technique
卷	36
期	1
出版状态	已出版 - 1月 2010

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引用此

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title = "A improved method of matching point extracting for vision sensor and LMS space alignment",

abstract = "Space alignment is the first step in data fusion for vision sensor and LMS. Point matching and plane matching are commonly used in space alignment of vision sensor and LMS. But the precision of point matching method is hardly improved, since mixed pixel and matching point loss in non-structure space. Mixed pixel and matching point loss in non-structure space are analyzed. A method for matching point extracting by modeling of pattern and LMS laser is proposed. The result is verified and space alignment precision is compared. The simulated results show that this algorithm can improve the precision of point matching method, and finally the performance of point matching method is improved.",

keywords = "LMS, Laser techniques, Matching point loss, Mixed pixel, Pattern modeling, Point matching, Visible light image",

author = "Deng, {Zhi Hong} and Liu, {Ming Yang} and Fu, {Meng Yin}",

year = "2010",

month = jan,

language = "English",

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AU - Liu, Ming Yang

AU - Fu, Meng Yin

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N2 - Space alignment is the first step in data fusion for vision sensor and LMS. Point matching and plane matching are commonly used in space alignment of vision sensor and LMS. But the precision of point matching method is hardly improved, since mixed pixel and matching point loss in non-structure space. Mixed pixel and matching point loss in non-structure space are analyzed. A method for matching point extracting by modeling of pattern and LMS laser is proposed. The result is verified and space alignment precision is compared. The simulated results show that this algorithm can improve the precision of point matching method, and finally the performance of point matching method is improved.

AB - Space alignment is the first step in data fusion for vision sensor and LMS. Point matching and plane matching are commonly used in space alignment of vision sensor and LMS. But the precision of point matching method is hardly improved, since mixed pixel and matching point loss in non-structure space. Mixed pixel and matching point loss in non-structure space are analyzed. A method for matching point extracting by modeling of pattern and LMS laser is proposed. The result is verified and space alignment precision is compared. The simulated results show that this algorithm can improve the precision of point matching method, and finally the performance of point matching method is improved.

KW - LMS

KW - Laser techniques

KW - Matching point loss

KW - Mixed pixel

KW - Pattern modeling

KW - Point matching

KW - Visible light image

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A improved method of matching point extracting for vision sensor and LMS space alignment

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