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