A Study of Image Processing Based Object Depth Estimation

Der-Cherng Liaw, Shao Chun Zhao, Yi Ming Hu

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

Abstract

Issue of object's depth estimation from binocular vision technique is studied in this paper. A binocular vision platform is set up to detect and estimate the object's depth. Mathematical derivation of object's depth from the two cameras of the proposed platform is re-visited to reveal the linkage between system parameters such as focal length and the estimation error. Both of simulation and experimental results are obtained for parametric analysis of estimation error. A comparison with Kinect is also given to demonstrate the superiority of the proposed design.

Original languageEnglish
Title of host publicationICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
PublisherIEEE Computer Society
Pages949-954
Number of pages6
ISBN (Electronic)9788993215182
DOIs
StatePublished - Oct 2019
Event19th International Conference on Control, Automation and Systems, ICCAS 2019 - Jeju, Korea, Republic of
Duration: 15 Oct 201918 Oct 2019

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2019-October
ISSN (Print)1598-7833

Conference

Conference19th International Conference on Control, Automation and Systems, ICCAS 2019
CountryKorea, Republic of
CityJeju
Period15/10/1918/10/19

Keywords

  • binocular vision
  • Depth sensing
  • stereo vision

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    Liaw, D-C., Zhao, S. C., & Hu, Y. M. (2019). A Study of Image Processing Based Object Depth Estimation. In ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings (pp. 949-954). [8971553] (International Conference on Control, Automation and Systems; Vol. 2019-October). IEEE Computer Society. https://doi.org/10.23919/ICCAS47443.2019.8971553