A Study of Image Processing Based Object Depth Estimation
| dc.citation.epage | 954 | en_US |
| dc.citation.spage | 949 | en_US |
| dc.citation.woscount | 0 | en_US |
| dc.contributor.author | Liaw, Der-Cherng | en_US |
| dc.contributor.author | Zhao, Shao-Chun | en_US |
| dc.contributor.author | Hu, Yi-Ming | en_US |
| dc.contributor.department | 電控工程研究所 | zh_TW |
| dc.contributor.department | Institute of Electrical and Control Engineering | en_US |
| dc.date.accessioned | 2020-10-05T02:01:29Z | |
| dc.date.available | 2020-10-05T02:01:29Z | |
| dc.date.issued | 2019-01-01 | en_US |
| dc.description.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. | en_US |
| dc.identifier.isbn | 978-89-93215-18-2 | en_US |
| dc.identifier.issn | 2093-7121 | en_US |
| dc.identifier.journal | 2019 19TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2019) | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/155272 | |
| dc.identifier.wosnumber | WOS:000555707100134 | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Depth sensing | en_US |
| dc.subject | stereo vision | en_US |
| dc.subject | binocular vision | en_US |
| dc.title | A Study of Image Processing Based Object Depth Estimation | en_US |
| dc.type | Proceedings Paper | en_US |
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