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Freehand 3D Scanning in a Mobile Environment using Video

Wollner, Patrick and Arandjelovic, Ognjen 2011, Freehand 3D Scanning in a Mobile Environment using Video, in IEEE 2011 : Proceedings of the Computer Visions Conference Workshops (ICCV Workshops) 2011, IEEE, Piscataway, New Jersey, pp. 445-452, doi: 10.1109/ICCVW.2011.6130275.

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Title Freehand 3D Scanning in a Mobile Environment using Video
Author(s) Wollner, Patrick
Arandjelovic, Ognjen
Conference name IEEE International Conference on Computer Vision : ICCV Workshops (2011 : Barcelona, Spain
Conference location Barcelona, Spain
Conference dates 6-13 Nov. 2011
Title of proceedings IEEE 2011 : Proceedings of the Computer Visions Conference Workshops (ICCV Workshops) 2011
Editor(s) [Unknown]
Publication date 2011
Conference series IEEE International Conference on Computer Vision
Start page 445
End page 452
Total pages 8
Publisher IEEE
Place of publication Piscataway, New Jersey
Summary This work is motivated by two important trends in consumer computing: (i) the growing pervasiveness of mobile computing devices, and (ii) the users’ desire for increasingly complex but readily acquired and manipulated information content. Specifically, we develop and describe a system for 3D model creation of an object, using only a standard mobile device such as a smart phone. Our approach applies the structured light projection methodology and exploits multiple image input such as frames from a video sequence. In comparison with previous work, a significant further challenge addressed here is that of lower quality input data and limited hardware (processing power and memory, camera and projector quality). Novelties include: (i) a comparison of projection pattern detection approaches in the context of a mobile environment – a robust method combining colour detection and a phase congruency descriptor is evaluated, (ii) a model for single view reconstruction which exploits epipolar, coplanarity and topological constraints, (iii) the use of mobile device sensor data in the iterative closest point algorithm used to register multiple partial 3D reconstructions, and (iv) two heuristics for determining the order in which buffered single view based reconstructions are merged. Our experiments demonstrate that visually appealing results are obtained in a speedy manner which does not require specialist knowledge or expertise from the user.
Language eng
DOI 10.1109/ICCVW.2011.6130275
Field of Research 080104 Computer Vision
080106 Image Processing
080109 Pattern Recognition and Data Mining
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2011, IEEE
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Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
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