Optimal matching of nonconvex polygons

Jose A. Ventura; Jen Ming Chen

doi:10.1016/0167-8655(93)90023-7

Optimal matching of nonconvex polygons

Jose A. Ventura, Jen Ming Chen

Graduate Institute of Industrial Management

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

9 Scopus citations

Abstract

The proposed polygonal model is to represent the object silhouette by a set of primitives which uniquely define its pose and dimension. Based on this model, an optimization matching procedure that uses the least-squares criterion is developed.

Original language	English
Pages (from-to)	445-452
Number of pages	8
Journal	Pattern Recognition Letters
Volume	14
Issue number	6
DOIs	https://doi.org/10.1016/0167-8655(93)90023-7
State	Published - Jun 1993

Keywords

Optimization model
matching
model-based inspection
nonconvex polygon
parametric description
shape representation

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10.1016/0167-8655(93)90023-7

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title = "Optimal matching of nonconvex polygons",

abstract = "The proposed polygonal model is to represent the object silhouette by a set of primitives which uniquely define its pose and dimension. Based on this model, an optimization matching procedure that uses the least-squares criterion is developed.",

keywords = "Optimization model, matching, model-based inspection, nonconvex polygon, parametric description, shape representation",

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year = "1993",

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AB - The proposed polygonal model is to represent the object silhouette by a set of primitives which uniquely define its pose and dimension. Based on this model, an optimization matching procedure that uses the least-squares criterion is developed.

KW - Optimization model

KW - matching

KW - model-based inspection

KW - nonconvex polygon

KW - parametric description

KW - shape representation

UR - https://www.scopus.com/pages/publications/38249003034

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DO - 10.1016/0167-8655(93)90023-7

M3 - 期刊論文

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VL - 14

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EP - 452

JO - Pattern Recognition Letters

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IS - 6

ER -

Optimal matching of nonconvex polygons

Abstract

Keywords

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