Microgeometry capture using an elastomeric sensor

We describe a system for capturing microscopic surface geometry. The system extends the retrographic sensor [Johnson and Adelson 2009] to the microscopic domain, demonstrating spatial resolution as small as 2 microns. In contrast to existing microgeometry capture techniques, the system is not affect...

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Bibliographic Details
Published in:ACM SIGGRAPH 2011 papers 2011-07, Vol.30 (4), p.1-8
Main Authors: Johnson, Micah K., Cole, Forrester, Raj, Alvin, Adelson, Edward H.
Format: Article
Language:English
Subjects:
Algorithms
Computing methodologies > Artificial intelligence > Computer vision > Image and video acquisition
Computing methodologies > Computer graphics > Image manipulation
Computing methodologies > Computer graphics > Image manipulation > Texturing
Computing methodologies > Computer graphics > Shape modeling
Design engineering
Devices
Hardware
Illumination
Mattes
Sensors
Surface geometry
Theory of computation > Randomness, geometry and discrete structures
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Summary:We describe a system for capturing microscopic surface geometry. The system extends the retrographic sensor [Johnson and Adelson 2009] to the microscopic domain, demonstrating spatial resolution as small as 2 microns. In contrast to existing microgeometry capture techniques, the system is not affected by the optical characteristics of the surface being measured---it captures the same geometry whether the object is matte, glossy, or transparent. In addition, the hardware design allows for a variety of form factors, including a hand-held device that can be used to capture high-resolution surface geometry in the field. We achieve these results with a combination of improved sensor materials, illumination design, and reconstruction algorithm, as compared to the original sensor of Johnson and Adelson [2009].
ISSN:0730-0301
DOI:10.1145/1964921.1964941