&lt;title&gt;Distortion-invariant recognition approach&lt;/title&gt;

Guolin Peng; Fang Xie; Wantao He; Yong Li; Anrong Huang

doi:10.1117/12.235667

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<title>Distortion-invariant recognition approach</title>

Guolin Peng Fang Xie Wantao He Yong Li Anrong Huang

Year: 1996 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2752 Pages: 338-345 Publisher: SPIE

DOI: 10.1117/12.235667

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Abstract

A distortion-invariant feature is proposed in this paper, which is based on the normalization polar coordinates of closed nohole space targets' boundary. In order to utilize this proposed feature to recognize distortion targets in 2-D, a dynamic compensation matching method for the target's polar coordinates is put forward. Computer simulation shows this approach has the best distortion-invariant recognition ability.

Keywords:

Normalization (sociology) Polar coordinate system Invariant (physics) Distortion (music) Artificial intelligence Computer science Algorithm Pattern recognition (psychology) Computer vision Polar Mathematics Physics Geometry Telecommunications

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Advanced Measurement and Detection Methods

Physical Sciences → Engineering → Electrical and Electronic Engineering

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Optical Systems and Laser Technology

Physical Sciences → Engineering → Electrical and Electronic Engineering

<title>Distortion-invariant recognition approach</title>

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