DocumentCode
3001816
Title
Retrographic sensing for the measurement of surface texture and shape
Author
Johnson, Micah K ; Adelson, E.H.
Author_Institution
MIT, Cambridge, MA, USA
fYear
2009
fDate
20-25 June 2009
Firstpage
1070
Lastpage
1077
Abstract
We describe a novel device that can be used as a 2.5D “scanner” for acquiring surface texture and shape. The device consists of a slab of clear elastomer covered with a reflective skin. When an object presses on the skin, the skin distorts to take on the shape of the object´s surface. When viewed from behind (through the elastomer slab), the skin appears as a relief replica of the surface. A camera records an image of this relief, using illumination from red, green, and blue light sources at three different positions. A photometric stereo algorithm that is tailored to the device is then used to reconstruct the surface. There is no problem dealing with transparent or specular materials because the skin supplies its own BRDF. Complete information is recorded in a single frame; therefore we can record video of the changing deformation of the skin, and then generate an animation of the changing surface. Our sensor has no moving parts (other than the elastomer slab), uses inexpensive materials, and can be made into a portable device that can be used “in the field” to record surface shape and texture.
Keywords
image scanners; image sensors; image texture; shape measurement; stereo image processing; video cameras; 2.5D scanner; camera; clear elastomer slab; illumination; photometric stereo algorithm; reflective skin; retrographic sensing; shape measurement; specular material; surface texture measurement; video recording; Cameras; Distortion measurement; Light sources; Lighting; Presses; Shape measurement; Skin; Slabs; Surface reconstruction; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
Conference_Location
Miami, FL
ISSN
1063-6919
Print_ISBN
978-1-4244-3992-8
Type
conf
DOI
10.1109/CVPR.2009.5206534
Filename
5206534
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