An efficient method for fully automatic 3D digitization of unknown objects

Our goal is to develop a complete and automatic scanning strategy with minimum prior information about the object shape. We aim to establish a methodology for the automation of the 3D digitization process. The paper presents a novel approach to determine the Next Best View (NBV) for an efficient rec...

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Bibliographic Details
Published in:Computers in industry 2013-12, Vol.64 (9), p.1152-1160
Main Authors: Khalfaoui, Souhaiel, Seulin, Ralph, Fougerolle, Yohan, Fofi, David
Format: Article
Language:English
Subjects:
3D digitization
Algorithms
Automatic scanning
Automation
Computer Science
Computer Vision and Pattern Recognition
Digital imaging
Digitization
Next Best View
Scanning
Studies
Three dimensional imaging
View planning
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Summary:Our goal is to develop a complete and automatic scanning strategy with minimum prior information about the object shape. We aim to establish a methodology for the automation of the 3D digitization process. The paper presents a novel approach to determine the Next Best View (NBV) for an efficient reconstruction of highly accurate 3D models. Our method is based on the classification of the acquired surfaces into Well Visible and Barely Visible combined with a best view selection algorithm based on mean shift, which avoids unreachable positions. Our approach is applicable to all kinds of range sensors. To prove the efficiency and the robustness of our method, test objects are first scanned manually by experts in 3D digitization from the VECTEO company. The comparison of results between manual and automatic scanning shows that our method is very efficient and faster than trained experts. The 3D models of the different objects are obtained with a strongly reduced number of acquisitions while moving efficiently the ranging device. The obtained results prove the effectiveness and the versatility of our 3D reconstruction approach for industrial applications.
ISSN:0166-3615
1872-6194
DOI:10.1016/j.compind.2013.04.005