@inproceedings{8946d745554e4dc4913e90f4d2797ca2,
title = "A Study of Image Processing Based Object Depth Estimation",
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.",
keywords = "Depth sensing, binocular vision, stereo vision",
author = "Der-Cherng Liaw and Zhao, {Shao Chun} and Hu, {Yi Ming}",
note = "Publisher Copyright: {\textcopyright} 2019 Institute of Control, Robotics and Systems - ICROS.; 19th International Conference on Control, Automation and Systems, ICCAS 2019 ; Conference date: 15-10-2019 Through 18-10-2019",
year = "2019",
month = oct,
doi = "10.23919/ICCAS47443.2019.8971553",
language = "English",
series = "International Conference on Control, Automation and Systems",
publisher = "IEEE Computer Society",
pages = "949--954",
booktitle = "ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings",
address = "美國",
}