Object orientation estimation for high speed 3D object retrieval system

Vicky Sintunata, Terumasa Aoki

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

1 Citation (Scopus)

Abstract

A 3D object retrieval system is one of the most difficult system to archive. If 3D model can be used as a query to the retrieval system, it will become less difficult. Unfortunately, creating 3D model is not a trivial task. Usually, users have only 2D images (photos, sketches, etc.) as query images for the retrieval system. In the past, the query images will then have to be compared with every image in the database. In this paper, we propose a new method by utilizing the skewness of the image, so that the system does not have to compare every image in the database. The skewness values will be used to generate contour maps of the object skewness data. By utilizing these skewness (contour) maps, the position of the image in the database can be extracted. Furthermore, the rotational degree (orientation) of the object can be approximated. This is done by simply using a simple thresholding method. The results of the proposed method are compared with the traditional SURF method. It shows that the proposed method is 25 times faster than the traditional SURF method when comparing the images.

Original languageEnglish
Title of host publication2016 4th International Conference on Information and Communication Technology, ICoICT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398794
DOIs
Publication statusPublished - 2016 Sep 19
Event4th International Conference on Information and Communication Technology, ICoICT 2016 - Bandung, Indonesia
Duration: 2016 May 252016 May 27

Publication series

Name2016 4th International Conference on Information and Communication Technology, ICoICT 2016

Other

Other4th International Conference on Information and Communication Technology, ICoICT 2016
CountryIndonesia
CityBandung
Period16/5/2516/5/27

Keywords

  • 3D Object Retrieval
  • Bicubic Interpolation
  • Databases
  • Object Orientation
  • Skewness

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management

Fingerprint Dive into the research topics of 'Object orientation estimation for high speed 3D object retrieval system'. Together they form a unique fingerprint.

  • Cite this

    Sintunata, V., & Aoki, T. (2016). Object orientation estimation for high speed 3D object retrieval system. In 2016 4th International Conference on Information and Communication Technology, ICoICT 2016 [7571933] (2016 4th International Conference on Information and Communication Technology, ICoICT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICoICT.2016.7571933