NDLI: Automatic 3D model acquisition for unknown objects based on hybrid vision technology

Content Provider	Springer Nature Link
Author	Fang, Wei Zheng, Lianyu He, Bingwei Wang, Qing
Copyright Year	2017
Abstract	Three-dimensional (3D) model acquisition is the process of building a 3D model of an object. But due to the limited field of view of the scanner, this task is mainly performed by taking several scans with human intervention. In order to make the 3D modeling process efficient, a novel automatic 3D modeling method for unknown objects based on hybrid vision technology in a binocular structured light system (BSLS) is proposed. Firstly, the limit visual vacuums of the BSLS are established, and they will be used to predict the unknown area with an acquired 2.5D range image. With the 2D intensity image acquired synchronously, the coarse boundary size is recovered from Shape from Shading, and it leads the prediction of the unknown area to be more precise. Based on the combination of the predicted contours, the next best viewpoint is determined with more unknown areas visible. The proposed method can be used to obtain the 3D models of unknown objects automatically, and the experimental results illustrate the validity and efficiency of our approach.
Starting Page	275
Ending Page	284
Page Count	10
File Format	PDF
ISSN	22347593
Journal	International Journal of Precision Engineering and Manufacturing
Volume Number	18
Issue Number	3
e-ISSN	20054602
Language	English
Publisher	Korean Society for Precision Engineering
Publisher Date	2017-03-09
Publisher Place	Seoul
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	3D modeling Viewpoint planning Hybrid vision technology Binocular structured light Industrial and Production Engineering Materials Science
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Mechanical Engineering Electrical and Electronic Engineering

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