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

Harold and Inge Marcus Department of Industrial and Manufacturing Engineering

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 (US)
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

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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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.",

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year = "1993",

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Optimal matching of nonconvex polygons

Abstract

All Science Journal Classification (ASJC) codes

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