Local feature detector using 3-point matching and dynamic programming

PC C. Yuen; Peter WM Tsang

doi:10.1016/0262-8856(95)90838-Y

Local feature detector using 3-point matching and dynamic programming

PC C. Yuen^*, Peter WM Tsang

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Journal article › peer-review

4 Citations (Scopus)

Abstract

A local feature detection scheme for the recognition of occluded objects is developed and reported in this paper. A 3-point matching algorithm is developed to reduce the local feature matching trial. An elastic matching technique using dynamic programming provides the capability of handling the non-linearly distorted features. Also, the proposed scheme is computationally efficient. A set of handtools is selected to evaluate the performance of the algorithm, and the results are encouraging.

Original language	English
Pages (from-to)	179-187
Number of pages	9
Journal	Image and Vision Computing
Volume	13
Issue number	3
DOIs	https://doi.org/10.1016/0262-8856(95)90838-Y
Publication status	Published - Apr 1995

User-Defined Keywords

3-point matching
elastic matching technique
feature detection
object recognition

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10.1016/0262-8856(95)90838-Y

Cite this

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title = "Local feature detector using 3-point matching and dynamic programming",

abstract = "A local feature detection scheme for the recognition of occluded objects is developed and reported in this paper. A 3-point matching algorithm is developed to reduce the local feature matching trial. An elastic matching technique using dynamic programming provides the capability of handling the non-linearly distorted features. Also, the proposed scheme is computationally efficient. A set of handtools is selected to evaluate the performance of the algorithm, and the results are encouraging.",

keywords = "3-point matching, elastic matching technique, feature detection, object recognition",

author = "Yuen, {PC C.} and Tsang, {Peter WM}",

year = "1995",

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AU - Yuen, PC C.

AU - Tsang, Peter WM

PY - 1995/4

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N2 - A local feature detection scheme for the recognition of occluded objects is developed and reported in this paper. A 3-point matching algorithm is developed to reduce the local feature matching trial. An elastic matching technique using dynamic programming provides the capability of handling the non-linearly distorted features. Also, the proposed scheme is computationally efficient. A set of handtools is selected to evaluate the performance of the algorithm, and the results are encouraging.

AB - A local feature detection scheme for the recognition of occluded objects is developed and reported in this paper. A 3-point matching algorithm is developed to reduce the local feature matching trial. An elastic matching technique using dynamic programming provides the capability of handling the non-linearly distorted features. Also, the proposed scheme is computationally efficient. A set of handtools is selected to evaluate the performance of the algorithm, and the results are encouraging.

KW - 3-point matching

KW - elastic matching technique

KW - feature detection

KW - object recognition

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U2 - 10.1016/0262-8856(95)90838-Y

DO - 10.1016/0262-8856(95)90838-Y

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VL - 13

SP - 179

EP - 187

JO - Image and Vision Computing

JF - Image and Vision Computing

IS - 3

ER -

Local feature detector using 3-point matching and dynamic programming

Abstract

User-Defined Keywords

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