Three-dimensional pattern recognition with a single two-dimensional synthetic reference function

Youzhi Li; Joseph Rosen

doi:10.1364/AO.39.001251

Three-dimensional pattern recognition with a single two-dimensional synthetic reference function

Youzhi Li, Joseph Rosen

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

A novel, to our knowledge, method of distortion-invariant three-dimensional (3-D) pattern recognition is proposed. A single two-dimensional synthetic discriminant function is employed as a reference function in the 3-D correlator. Thus the proposed system is able to identify and locate any true-class object in the 3-D scene. Preliminary simulation and experimental results are presented.

Original language	English
Pages (from-to)	1251-1259
Number of pages	9
Journal	Applied Optics
Volume	39
Issue number	8
DOIs	https://doi.org/10.1364/AO.39.001251
State	Published - 10 Mar 2000

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Engineering (miscellaneous)
Electrical and Electronic Engineering

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10.1364/AO.39.001251

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title = "Three-dimensional pattern recognition with a single two-dimensional synthetic reference function",

abstract = "A novel, to our knowledge, method of distortion-invariant three-dimensional (3-D) pattern recognition is proposed. A single two-dimensional synthetic discriminant function is employed as a reference function in the 3-D correlator. Thus the proposed system is able to identify and locate any true-class object in the 3-D scene. Preliminary simulation and experimental results are presented.",

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AB - A novel, to our knowledge, method of distortion-invariant three-dimensional (3-D) pattern recognition is proposed. A single two-dimensional synthetic discriminant function is employed as a reference function in the 3-D correlator. Thus the proposed system is able to identify and locate any true-class object in the 3-D scene. Preliminary simulation and experimental results are presented.

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Three-dimensional pattern recognition with a single two-dimensional synthetic reference function

Abstract

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