NDLI: An efficient surface registration using smartphone

Content Provider	Springer Nature Link
Author	Pribanić, Tomislav Diez, Yago Roure, Ferran Salvi, Joaquim
Copyright Year	2016
Abstract	Gathering 3D object information from the multiple spatial viewpoints typically brings up the problem of surface registration. More precisely, registration is used to fuse 3D data originally acquired from different viewpoints into a common coordinate system. This step often requires the use of relatively bulky and expensive robot arms (turntables) or presents a very challenging problem if constrained to software solutions. In this paper we present a novel surface registration method, motivated by an efficient and user-friendly implementation. Our system is inspired by the idea that three out of generally six registration parameters (degrees of freedom) can be provided in advance, at least to some degree of accuracy, by today’s smartphones. Experimental evaluations demonstrated the successful point cloud registrations of $$\sim $$ 10,000 points in a matter of seconds. The evaluation included comparison with state-of-the-art descriptor methods. The method’s robustness was also studied and the results using 3D data from a professional scanner showed the potential for real-world applications.
Starting Page	559
Ending Page	576
Page Count	18
File Format	PDF
ISSN	09328092
Journal	Machine Vision and Applications
Volume Number	27
Issue Number	4
e-ISSN	14321769
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-02-13
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Surface registration 3D reconstruction Structured light Stereo vision Inertial sensor Smartphone Cell phone Pattern Recognition Image Processing and Computer Vision Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture

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