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
CountryThailand
CityPhuket
Period11/12/711/12/11

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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    Zang, C., Hashimoto, K., & Moon, J. (2011). 3D Object tracking using computer graphics and edge. In 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 (pp. 2407-2408). [6181660] (2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011). https://doi.org/10.1109/ROBIO.2011.6181660