File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Depth measurement by omni-directional camera

TitleDepth measurement by omni-directional camera
Authors
Keywordsinfrared laser
omni-directional camera
depth measurement
structured light
Issue Date2013
Citation
2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013, 2013, p. 396-399 How to Cite?
AbstractDepth 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 Identifierhttp://hdl.handle.net/10722/213383

 

DC FieldValueLanguage
dc.contributor.authorTong, Jia-
dc.contributor.authorNing, Xi-
dc.date.accessioned2015-07-28T04:07:06Z-
dc.date.available2015-07-28T04:07:06Z-
dc.date.issued2013-
dc.identifier.citation2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013, 2013, p. 396-399-
dc.identifier.urihttp://hdl.handle.net/10722/213383-
dc.description.abstractDepth 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.languageeng-
dc.relation.ispartof2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013-
dc.subjectinfrared laser-
dc.subjectomni-directional camera-
dc.subjectdepth measurement-
dc.subjectstructured light-
dc.titleDepth measurement by omni-directional camera-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/CYBER.2013.6705478-
dc.identifier.scopuseid_2-s2.0-84893976639-
dc.identifier.spage396-
dc.identifier.epage399-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats