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- Publisher Website: 10.1109/CYBER.2013.6705478
- Scopus: eid_2-s2.0-84893976639
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Conference Paper: Depth measurement by omni-directional camera
| Title | Depth measurement by omni-directional camera |
|---|---|
| Authors | |
| Keywords | infrared laser omni-directional camera depth measurement structured light |
| Issue Date | 2013 |
| Citation | 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013, 2013, p. 396-399 How to Cite? |
| Abstract | Depth measurement is important in robot navigation, remote manipulation and auto-driving system etc. It can be used to avoid obstacles and identify objects. This paper presents a 3D depth measurement method using omni-directional camera and infrared point cloud structured light. Firstly, based on triangulation, the pixel offset values between the reference and object images can be calculated. Secondly, the 3D depth data can be measured and used to generate the color depth image. Finally, compared with actual measured values, in order to verify the effectiveness of the method. Experimental results show that the reconstructed depth data have a good correlation with the actual distance. © 2013 IEEE. |
| Persistent Identifier | http://hdl.handle.net/10722/213383 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tong, Jia | - |
| dc.contributor.author | Ning, Xi | - |
| dc.date.accessioned | 2015-07-28T04:07:06Z | - |
| dc.date.available | 2015-07-28T04:07:06Z | - |
| dc.date.issued | 2013 | - |
| dc.identifier.citation | 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013, 2013, p. 396-399 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/213383 | - |
| dc.description.abstract | Depth measurement is important in robot navigation, remote manipulation and auto-driving system etc. It can be used to avoid obstacles and identify objects. This paper presents a 3D depth measurement method using omni-directional camera and infrared point cloud structured light. Firstly, based on triangulation, the pixel offset values between the reference and object images can be calculated. Secondly, the 3D depth data can be measured and used to generate the color depth image. Finally, compared with actual measured values, in order to verify the effectiveness of the method. Experimental results show that the reconstructed depth data have a good correlation with the actual distance. © 2013 IEEE. | - |
| dc.language | eng | - |
| dc.relation.ispartof | 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013 | - |
| dc.subject | infrared laser | - |
| dc.subject | omni-directional camera | - |
| dc.subject | depth measurement | - |
| dc.subject | structured light | - |
| dc.title | Depth measurement by omni-directional camera | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/CYBER.2013.6705478 | - |
| dc.identifier.scopus | eid_2-s2.0-84893976639 | - |
| dc.identifier.spage | 396 | - |
| dc.identifier.epage | 399 | - |