3D Object pose estimation from binarized images

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

Abstract

This paper discusses a 3D object pose estimation problem in which binarized images are used. Assuming that a CAD model of the object of interest is available, minimization of the difference between the captured and rendered images is considered. To make this minimization feasible in the situation where only binarized images are available, we propose to render a higher-resolution image at first and then resize it to the original size with help of an anti-alias filter. The simulated results show that the proposed method performs well as long as the given image offers sufficient clues.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages759-761
Number of pages3
ISBN (Print)9781467322591
Publication statusPublished - 2012 Jan 1
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012 Aug 202012 Aug 23

Publication series

NameProceedings of the SICE Annual Conference

Other

Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
CountryJapan
CityAkita
Period12/8/2012/8/23

Keywords

  • Levenberg-Marquardt method
  • appearance-based pose estimation
  • least square

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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