DocumentCode
2403596
Title
Flat refractive geometry
Author
Treibitz, Tali ; Schechner, Yoav Y. ; Singh, Hanumant
Author_Institution
Dept. of Electr. Eng. Technion, Technion-Israel Inst. of Technol., Haifa
fYear
2008
fDate
23-28 June 2008
Firstpage
1
Lastpage
8
Abstract
While the study of geometry has mainly concentrated on single-viewpoint (SVP) cameras, there is growing attention to more general non-SVP systems. Here we study an important class of systems that inherently have a non-SVP: a perspective camera imaging through an interface into a medium. Such systems are ubiquitous: they are common when looking into water-based environments. The paper analyzes the common flat-interface class of systems. It characterizes the locus of the viewpoints (caustic) of this class, and proves that the SVP model is invalid in it. This may explain geometrical errors encountered in prior studies. Our physics-based model is parameterized by the distance of the lens from the medium interface, beside the focal length. The physical parameters are calibrated by a simple approach that can be based on a single-frame. This directly determines the system geometry. The calibration is then used to compensate for modeled system distortion. Based on this model, geometrical measurements of objects are significantly more accurate, than if based on an SVP model. This is demonstrated in real-world experiments.
Keywords
calibration; cameras; object recognition; flat refractive geometry; perspective camera imaging; physics-based model; single-viewpoint cameras; system distortion; system geometry; Cameras; Computer vision; Geometry; Humans; Marine animals; Marine technology; Microscopy; Robot vision systems; Solid modeling; Stereo vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location
Anchorage, AK
ISSN
1063-6919
Print_ISBN
978-1-4244-2242-5
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2008.4587844
Filename
4587844
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