Robust matching process: a dominant point approach

Pong Chi YUEN; Peter W.M. Tsang; F. K. Lam

doi:10.1016/0167-8655(94)90112-0

Robust matching process: a dominant point approach

Pong Chi YUEN^*, Peter W.M. Tsang, F. K. Lam

^*Corresponding author for this work

Department of Computer Science

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

9 Citations (Scopus)

Abstract

A robust local feature matching scheme for recognition of occluded objects is developed and reported in this letter. The proposed scheme is computation efficient and can handle the nonlinear distorted local features. A set of handtools is selected to evaluate the performance of the algorithm and the results are encouraging.

Original language	English
Pages (from-to)	1223-1233
Number of pages	11
Journal	Pattern Recognition Letters
Volume	15
Issue number	12
DOIs	https://doi.org/10.1016/0167-8655(94)90112-0
Publication status	Published - Dec 1994

Scopus Subject Areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

User-Defined Keywords

Dominant point
Local feature
Occluded object recognition

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10.1016/0167-8655(94)90112-0

Cite this

@article{6b7e14217eb549139379986523c3f7ea,

title = "Robust matching process: a dominant point approach",

abstract = "A robust local feature matching scheme for recognition of occluded objects is developed and reported in this letter. The proposed scheme is computation efficient and can handle the nonlinear distorted local features. A set of handtools is selected to evaluate the performance of the algorithm and the results are encouraging.",

keywords = "Dominant point, Local feature, Occluded object recognition",

author = "YUEN, {Pong Chi} and Tsang, {Peter W.M.} and Lam, {F. K.}",

year = "1994",

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T1 - Robust matching process

T2 - a dominant point approach

AU - YUEN, Pong Chi

AU - Tsang, Peter W.M.

AU - Lam, F. K.

PY - 1994/12

Y1 - 1994/12

N2 - A robust local feature matching scheme for recognition of occluded objects is developed and reported in this letter. The proposed scheme is computation efficient and can handle the nonlinear distorted local features. A set of handtools is selected to evaluate the performance of the algorithm and the results are encouraging.

AB - A robust local feature matching scheme for recognition of occluded objects is developed and reported in this letter. The proposed scheme is computation efficient and can handle the nonlinear distorted local features. A set of handtools is selected to evaluate the performance of the algorithm and the results are encouraging.

KW - Dominant point

KW - Local feature

KW - Occluded object recognition

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U2 - 10.1016/0167-8655(94)90112-0

DO - 10.1016/0167-8655(94)90112-0

M3 - Article

AN - SCOPUS:0028698129

SN - 0167-8655

VL - 15

SP - 1223

EP - 1233

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 12

ER -

Robust matching process: a dominant point approach

Abstract

Scopus Subject Areas

User-Defined Keywords

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