Recognition of 2D shapes through contour metamorphosis

R. Singh, I. Pavlidis, Nikolaos P Papanikolopoulos

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

A novel method for 2D shape recognition is proposed. The method employs as a dissimilarity measure the degree of morphing between a test shape and a reference shape. A physics-based approach substantiates the degree of morphing as a deformation energy and casts the problem as an energy minimization problem. The method operates upon key segmentation points that are provided by an appropriate segmentation algorithm. The recognition paradigm is invariant to translation, rotation, and scaling. It can handle both convex and non-convex shapes. The proposed system exhibits robust recognition behavior and real-time performance in a series of experiments. The experiments also highlight the ability of the method to recognize deformable shapes.

Original languageEnglish (US)
Pages (from-to)1651-1656
Number of pages6
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume2
StatePublished - Jan 1 1997
EventProceedings of the 1997 IEEE International Conference on Robotics and Automation, ICRA. Part 3 (of 4) - Albuquerque, NM, USA
Duration: Apr 20 1997Apr 25 1997

Fingerprint

Physics
Experiments

Cite this

Recognition of 2D shapes through contour metamorphosis. / Singh, R.; Pavlidis, I.; Papanikolopoulos, Nikolaos P.

In: Proceedings - IEEE International Conference on Robotics and Automation, Vol. 2, 01.01.1997, p. 1651-1656.

Research output: Contribution to journalConference article

@article{6b6fed9dc20b43e4873a67fcd6069cd7,
title = "Recognition of 2D shapes through contour metamorphosis",
abstract = "A novel method for 2D shape recognition is proposed. The method employs as a dissimilarity measure the degree of morphing between a test shape and a reference shape. A physics-based approach substantiates the degree of morphing as a deformation energy and casts the problem as an energy minimization problem. The method operates upon key segmentation points that are provided by an appropriate segmentation algorithm. The recognition paradigm is invariant to translation, rotation, and scaling. It can handle both convex and non-convex shapes. The proposed system exhibits robust recognition behavior and real-time performance in a series of experiments. The experiments also highlight the ability of the method to recognize deformable shapes.",
author = "R. Singh and I. Pavlidis and Papanikolopoulos, {Nikolaos P}",
year = "1997",
month = "1",
day = "1",
language = "English (US)",
volume = "2",
pages = "1651--1656",
journal = "Proceedings - IEEE International Conference on Robotics and Automation",
issn = "1050-4729",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Recognition of 2D shapes through contour metamorphosis

AU - Singh, R.

AU - Pavlidis, I.

AU - Papanikolopoulos, Nikolaos P

PY - 1997/1/1

Y1 - 1997/1/1

N2 - A novel method for 2D shape recognition is proposed. The method employs as a dissimilarity measure the degree of morphing between a test shape and a reference shape. A physics-based approach substantiates the degree of morphing as a deformation energy and casts the problem as an energy minimization problem. The method operates upon key segmentation points that are provided by an appropriate segmentation algorithm. The recognition paradigm is invariant to translation, rotation, and scaling. It can handle both convex and non-convex shapes. The proposed system exhibits robust recognition behavior and real-time performance in a series of experiments. The experiments also highlight the ability of the method to recognize deformable shapes.

AB - A novel method for 2D shape recognition is proposed. The method employs as a dissimilarity measure the degree of morphing between a test shape and a reference shape. A physics-based approach substantiates the degree of morphing as a deformation energy and casts the problem as an energy minimization problem. The method operates upon key segmentation points that are provided by an appropriate segmentation algorithm. The recognition paradigm is invariant to translation, rotation, and scaling. It can handle both convex and non-convex shapes. The proposed system exhibits robust recognition behavior and real-time performance in a series of experiments. The experiments also highlight the ability of the method to recognize deformable shapes.

UR - http://www.scopus.com/inward/record.url?scp=0030719186&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030719186&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0030719186

VL - 2

SP - 1651

EP - 1656

JO - Proceedings - IEEE International Conference on Robotics and Automation

JF - Proceedings - IEEE International Conference on Robotics and Automation

SN - 1050-4729

ER -