Optimal matching of nonconvex polygons

Jose Antonio Ventura; Jen Ming Chen

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

Optimal matching of nonconvex polygons

Jose Antonio Ventura, Jen Ming Chen

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 - Jan 1 1993

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

Access to Document

10.1016/0167-8655(93)90023-7

Cite this

@article{1263c26debba467abad11fe694b1c195,

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.",

author = "Ventura, {Jose Antonio} and Chen, {Jen Ming}",

year = "1993",

month = jan,

day = "1",

doi = "10.1016/0167-8655(93)90023-7",

language = "English (US)",

volume = "14",

pages = "445--452",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier",

number = "6",

}

TY - JOUR

T1 - Optimal matching of nonconvex polygons

AU - Ventura, Jose Antonio

AU - Chen, Jen Ming

PY - 1993/1/1

Y1 - 1993/1/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=38249003034&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=38249003034&partnerID=8YFLogxK

U2 - 10.1016/0167-8655(93)90023-7

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

M3 - Article

AN - SCOPUS:38249003034

SN - 0167-8655

VL - 14

SP - 445

EP - 452

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 6

ER -

Optimal matching of nonconvex polygons

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this