NDLI: Multi-view Normal Field Integration for 3D Reconstruction of Mirroring Objects

Content Provider	IEEE Xplore Digital Library
Author	Weinmann, M. Osep, A. Ruiters, R. Klein, R.
Copyright Year	2013
Description	Author affiliation: Univ. of Bonn, Bonn, Germany (Weinmann, M.; Osep, A.; Ruiters, R.; Klein, R.)
Abstract	In this paper, we present a novel, robust multi-view normal field integration technique for reconstructing the full 3D shape of mirroring objects. We employ a turntable-based setup with several cameras and displays. These are used to display illumination patterns which are reflected by the object surface. The pattern information observed in the cameras enables the calculation of individual volumetric normal fields for each combination of camera, display and turntable angle. As the pattern information might be blurred depending on the surface curvature or due to non-perfect mirroring surface characteristics, we locally adapt the decoding to the finest still resolvable pattern resolution. In complex real-world scenarios, the normal fields contain regions without observations due to occlusions and outliers due to interreflections and noise. Therefore, a robust reconstruction using only normal information is challenging. Via a non-parametric clustering of normal hypotheses derived for each point in the scene, we obtain both the most likely local surface normal and a local surface consistency estimate. This information is utilized in an iterative min-cut based variational approach to reconstruct the surface geometry.
Sponsorship	IEEE Comput. Soc.
Starting Page	2504
Ending Page	2511
File Size	571828
Page Count	8
File Format	PDF
ISBN	9781479928408
ISSN	15505499
DOI	10.1109/ICCV.2013.311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surface reconstruction Cameras Three-dimensional displays Light sources Lighting Geometry Robustness mirroring objects 3D reconstruction multi-view normal field integration
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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