A Study of Image Processing Based Object Depth Estimation

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

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
發行者IEEE Computer Society
頁面949-954
頁數6
ISBN(電子)9788993215182
DOIs
出版狀態Published - 十月 2019
事件19th International Conference on Control, Automation and Systems, ICCAS 2019 - Jeju, Korea, Republic of
持續時間: 15 十月 201918 十月 2019

出版系列

名字International Conference on Control, Automation and Systems
2019-October
ISSN(列印)1598-7833

Conference

Conference19th International Conference on Control, Automation and Systems, ICCAS 2019
國家Korea, Republic of
城市Jeju
期間15/10/1918/10/19

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  • 引用此

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