DocumentCode :
2604656
Title :
A kaleidoscopic approach to surround geometry and reflectance acquisition
Author :
Ihrke, Ivo ; Reshetouski, Ilya ; Manakov, Alkhazur ; Tevs, Art ; Wand, Michael ; Seidel, Hans-Peter
fYear :
2012
fDate :
16-21 June 2012
Firstpage :
29
Lastpage :
36
Abstract :
We describe a system for acquiring reflectance fields of objects without moving parts and without a massively parallel hardware setup. Our system consists of a set of planar mirrors which serve to multiply a single camera and a single projector into a multitude of virtual counterparts. Using this arrangement, we can acquire reflectance fields with an average angular sampling rate of about 120+ view/light pairs per surface point. The mirror system allows for freely programmable illumination with full directional coverage. We employ this setup to realize a 3D acquisition system that employs structured illumination to capture the unknown object geometry, in addition to dense reflectance sampling. On the software side, we combine state-of-the-art 3D reconstruction algorithms with a reflectance sharing technique based on non-negative matrix factorization in order to reconstruct a joint model of geometry and reflectance. We demonstrate for a number of test scenes that the kaleidoscopic approach can acquire complex reflectance properties faithfully. The main limitation is that the multiplexing approach limits the attainable spatial resolution, trading it off for improved directional coverage.
Keywords :
cameras; computational geometry; image reconstruction; image resolution; image sampling; lighting; matrix decomposition; mirrors; optical projectors; reflectivity; 3D acquisition system; 3D reconstruction algorithms; angular sampling rate; camera; directional coverage; geometry acquisition; illumination; kaleidoscopic approach; multiplexing approach; nonnegative matrix factorization; planar mirrors; projector; reflectance acquisition; reflectance fields; reflectance sampling; reflectance sharing technique; spatial resolution; surface point; test scenes; unknown object geometry; view-light pairs; Calibration; Cameras; Geometry; Image segmentation; Lasers; Lighting; Mirrors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on
Conference_Location :
Providence, RI
ISSN :
2160-7508
Print_ISBN :
978-1-4673-1611-8
Electronic_ISBN :
2160-7508
Type :
conf
DOI :
10.1109/CVPRW.2012.6239347
Filename :
6239347
Link To Document :
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