3D Object tracking using computer graphics and edge

Chuantao Zang, Koichi Hashimoto, Jungjae Moon

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

Abstract

We have proposed a 3D object tracking framework with a Coarse-to-Fine combination strategy for robot vision applications. In the coarse step, compared with those edge-based only methods, the convergence range of initial camera pose estimation has been enlarged in our system by a template-based matching between a series of template images rendered from Computer Graphics (CG) and a current image. In the fine step an edge-based object tracking method is used to realize a more accurate visual tracking application with the results from the previous coarse step. In the video, two experiments have been carried out to evaluate our proposed template-based matching method using CG images. An application demo is included to show that our strategy is applicable for a real robot system.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Pages2407-2408
Number of pages2
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 - Phuket, Thailand
Duration: 2011 Dec 72011 Dec 11

Publication series

Name2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

Other

Other2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Country/TerritoryThailand
CityPhuket
Period11/12/711/12/11

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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