SPReAD: on spherical part recognition by axial discretization in 4D hough space

Radhika Mittal, Partha Bhowmick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel algorithm is proposed to locate the sets of adjacent co-spherical triangles for a given object, which enables us to detect spheres and spherical parts constituting the object. An extension of the idea of Hough transform has been used, aided by axial discretization and restricted searching, along with the geometric data structure of doubly connected edge list. The algorithm has been analyzed and shown to achieve significant efficiency in space and run-time. On testing the algorithm with various 3D objects, it is found to produce the desired result. Effects of different input parameters have been explained and the robustness of the algorithm has been shown for rough/noisy surfaces.

Original languageEnglish (US)
Title of host publicationComputer Vision and Graphics - International Conference, ICCVG 2012, Proceedings
PublisherSpringer-Verlag Berlin Heidelberg
Pages188-195
Number of pages8
ISBN (Print)9783642335631
DOIs
StatePublished - 2012
Externally publishedYes
EventInternational Conference on Computer Vision and Graphics, ICCVG 2012 - Warsaw, Poland
Duration: Sep 24 2012Sep 26 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7594 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computer Vision and Graphics, ICCVG 2012
CountryPoland
CityWarsaw
Period9/24/129/26/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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