Affine invariant recognition of 2D occluded objects using geometric hashing and distance transformation

Albert T S Au, Peter W M Tsang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

4 Citations (Scopus)

Abstract

An efficient approach for recognition of partially occluded objects from 2-D grey level images is presented. It can be divided into three stages. The pre-processing stage includes local feature extraction from 2-D grey level images and the formation of hash table. In the recognition stage, geometric hashing technique is used to vote for the point correspondences between the scene and the models. Finally, distance transformation is employed for verification. An average mismatch distance is defined to measure the goodness of the match quantitatively. The approach has been successfully tested on recognizing a number of industrial handtools overlapping each other.
Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
PublisherIEEE
Pages64-67
Volume1
Publication statusPublished - 1996
Event1996 IEEE Region 10 Conference on Digital Signal Processing Applications (TENCON 96) - University of Western Australia, Perth, Australia
Duration: 26 Nov 199629 Nov 1996

Publication series

Name
Volume1

Conference

Conference1996 IEEE Region 10 Conference on Digital Signal Processing Applications (TENCON 96)
Country/TerritoryAustralia
CityPerth
Period26/11/9629/11/96

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