High speed 3D object retrieval using skewness value

Vicky Sintunata, Terumasa Aoki

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

Abstract

A novel high-speed 3D object retrieval system is presented here. Since creating a 3D model as an input to the retrieval system is not trivial, a 2D image (photos, sketches, etc.) of the object is usually used instead. We present a new high-speed retrieval method by using skewness information. The images in the database will be represented by a skewness function. By using the proposed method, comparison between the query and all images in the database can be avoided. From the experiment, the proposed method performs 60 times faster than using only SURF method in retrieval system.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages373-378
Number of pages6
ISBN (Electronic)9781509009312
DOIs
Publication statusPublished - 2016 Jul 22
Event2016 IEEE Region 10 Symposium, TENSYMP 2016 - Bali, Indonesia
Duration: 2016 May 92016 May 11

Publication series

NameProceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016

Other

Other2016 IEEE Region 10 Symposium, TENSYMP 2016
CountryIndonesia
CityBali
Period16/5/916/5/11

Keywords

  • 3D Object Retrieval
  • Cubic Spline Interpolation
  • Databases
  • Skewness

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications

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