Low-cost interactive active monocular range finder Takatsuka, Masahiro, West, Geoff A. W., Venkatesh, Svetha and Caelli, Terry M. 1999, Low-cost interactive active monocular range finder, in CVPR 1999 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, Washington, D. C., pp. 444-449, doi: 10.1109/CVPR.1999.786976. Attached Files Name Description MIMEType Size Downloads venkatesh-lowcost-1999.pdf Published version application/pdf 654.93KB 146 Title Low-cost interactive active monocular range finder Author(s) Takatsuka, Masahiro West, Geoff A. W. Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Caelli, Terry M. Conference name IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1999 : Fort Collins, Colo.) Conference location Fort Collins, Colo. Conference dates 23-25 Jun. 1999 Title of proceedings CVPR 1999 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Editor(s) [Unknown] Publication date 1999 Conference series IEEE Computer Society Conference on Computer Vision and Pattern Recognition Start page 444 End page 449 Total pages 6 Publisher IEEE Place of publication Washington, D. C. Keyword(s) Australia cameras computer vision geography layout light emitting diodes position measurement sampling methods shape measurement surface structures Summary This paper describes a low-cost interactive active monocular range finder and illustrates the effect of introducing interactivity to the range acquisition process. The range finder consists of only one camera and a laser pointer, to which three LEDs are attached. When a user scans the laser along surfaces of objects, the camera captures the image of spots (one from the laser, and the others from LEDs), and triangulation is carried out using the camera's viewing direction and the optical axis of the laser. The user interaction allows the range finder to acquire range data in which the sampling rate varies across the object depending on the underlying surface structures. Moreover, the processes of separating objects from the background and/or finding parts in the object can be achieved using the operator's knowledge of the objects. Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. ISBN 0769501494 ISSN 1063-6919 Language eng DOI 10.1109/CVPR.1999.786976 Field of Research 109999 Technology not elsewhere classified 080109 Pattern Recognition and Data Mining Socio Economic Objective 970110 Expanding Knowledge in Technology HERDC Research category E1.1 Full written paper - refereed Copyright notice ©1999, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30044544 Document type: Conference Paper Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Fri, 20 Apr 2012, 11:31:15 EST Mon, 23 Apr 2012, 15:47:08 EST Mon, 23 Apr 2012, 15:49:12 EST Tue, 01 May 2012, 15:00:48 EST Tue, 06 Sep 2016, 18:41:52 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 249 Abstract Views, 146 File Downloads  -  Detailed Statistics Created: Fri, 20 Apr 2012, 11:31:15 EST

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