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Abstract: In this paper, we propose a novel, full-body, real-time 3D reconstruction framework that makes use of pre-scanned body parts (more precisely pre-scanned 3D heads) so as to provide a more detailed 3D reconstruction mainly in the semantically important head area. Our framework deals with 3 major challenges: (a) multiple depth sensors collaboration, (b) pre-scanned head positioning and (c) reconstruction and texturing. In all the above challenges, we propose novel solutions so as to cope with time ...
Date of Conference
25-28 Sept. 2016
Date Added to IEEE Xplore
19 August 2016
ISBN Information
Electronic ISSN 2381-8549
INSPEC Accession Number
16521990
Publisher
IEEE
Conference Location
Phoenix, AZ, USA
Abstract:
In this paper, we propose a novel, full-body, real-time 3D reconstruction framework that makes use of pre-scanned body parts (more precisely pre-scanned 3D heads) so as to provide a more detailed 3D reconstruction mainly in the semantically important head area. Our framework deals with 3 major challenges: (a) multiple depth sensors collaboration, (b) pre-scanned head positioning and (c) reconstruction and texturing. In all the above challenges, we propose novel solutions so as to cope with time and space complexity, synchronization and 3D mesh quality. Experimental evaluation provides evidence that superior 3D mesh quality can be achieved compared to simple (not enhanced) use of depth cameras' data.
Date of Conference: 25-28 Sept. 2016
Date Added to IEEE Xplore : 19 August 2016
ISBN Information:
Electronic ISSN: 2381-8549
INSPEC Accession Number: 16521990
Publisher: IEEE
Conference Location: Phoenix, AZ, USA
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