Towards a parameterless 3D mesh segmentation Farag, Sara, Abdelrahman, Wael, Nahavandi, Saeid and Creighton, Douglas 2013, Towards a parameterless 3D mesh segmentation, in ICGIP 2012 : Proceedings of the 4th International Conference on Graphic and Image Processing, SPIE, [Singapore], pp. 1-8, doi: 10.1117/12.2010891. Attached Files Name Description MIMEType Size Downloads Title Towards a parameterless 3D mesh segmentation Author(s) Farag, Sara Abdelrahman, Wael Nahavandi, Saeid Creighton, Douglas orcid.org/0000-0002-9217-1231 Conference name Graphic and Image Processing. International Conference (4th : 2012 : Singapore) Conference location Singapore Conference dates 6-7 Oct. 2012 Title of proceedings ICGIP 2012 : Proceedings of the 4th International Conference on Graphic and Image Processing Editor(s) Zhu, Zeng Publication date 2013 Conference series Graphic and Image Processing International Conference Start page 1 End page 8 Total pages 8 Publisher SPIE Place of publication [Singapore] Keyword(s) 3D mesh segmentation 3D mesh analysis 2D footprints antipodal vertices cognitive theory Summary This paper proposes a novel technique for 3D mesh segmentation using multiple 2D pose footprints. Such problem has been targeted many times in the literature, but still requires further development especially in the area of automation. The proposed algorithm applies cognition theory and provides a generic technique to form a 3D bounding contour from a seed vertex on the 3D mesh. Forming the cutlines is done in both 2D and 3D spaces to enrich the available information for the search processes. The main advantage of this technique is the possibility to operate without any object-dependent parameters. The parameters that can be used will only be related to the used cognition theory and the seeds suggestion, which is another advantage as the algorithm can be generic to more than one theory of segmentation or to different criterion. The results are competitive against other algorithms, which use object-dependent or tuning parameters. This plus the autonomy and generality features, provides an efficient and usable approach for segmenting 3D meshes and at the same time to reduce the computation load. ISBN 9780819495662 Language eng DOI 10.1117/12.2010891 Field of Research 080103 Computer Graphics Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30055216 Document type: Conference Paper Collection: Centre for Intelligent Systems Research 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. Versions Version Filter Type Tue, 27 Aug 2013, 10:37:04 EST Tue, 27 Aug 2013, 11:09:28 EST Fri, 25 Oct 2013, 11:43:00 EST Wed, 30 Oct 2013, 13:34:17 EST Mon, 04 Nov 2013, 08:08:57 EST Tue, 03 Dec 2013, 15:49:20 EST Wed, 04 Dec 2013, 07:37:53 EST Wed, 02 Jul 2014, 16:39:09 EST Fri, 06 Feb 2015, 11:14:03 EST Fri, 09 Oct 2015, 17:07:20 EST Mon, 12 Oct 2015, 15:19:26 EST Wed, 14 Oct 2015, 13:30:21 EST Wed, 18 Nov 2015, 07:14:01 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 328 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 27 Aug 2013, 10:37:04 EST

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