3-d object identification using 2-d projections

B. Nutter; S. Mitra; M. Parten

doi:10.1117/12.969940

3-d object identification using 2-d projections

B. Nutter, S. Mitra, M. Parten

Electrical and Computer Engineering

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

1 Scopus citations

Abstract

A three-dimensional object identification methodology based on rigid geometrical constraints and cross-correlation is discussed, and experimental results are given. Comparable results from a nearest-neighbor classifier using simple feature vectors extracted from the object and model projections are also given. Comments concerning advantages of model-driven recognition methodologies are then made.

Original language	English
Pages (from-to)	117-126
Number of pages	10
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1197
DOIs	https://doi.org/10.1117/12.969940
State	Published - Feb 1 1990

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abstract = "A three-dimensional object identification methodology based on rigid geometrical constraints and cross-correlation is discussed, and experimental results are given. Comparable results from a nearest-neighbor classifier using simple feature vectors extracted from the object and model projections are also given. Comments concerning advantages of model-driven recognition methodologies are then made.",

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AB - A three-dimensional object identification methodology based on rigid geometrical constraints and cross-correlation is discussed, and experimental results are given. Comparable results from a nearest-neighbor classifier using simple feature vectors extracted from the object and model projections are also given. Comments concerning advantages of model-driven recognition methodologies are then made.

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

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3-d object identification using 2-d projections

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