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Human face measurement by projecting bandlimited random patterns
Author(s) -
Axel Wiegmann,
Holger Wagner,
R. Kowarschik
Publication year - 2006
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.14.007692
Subject(s) - point cloud , optics , standard deviation , computer science , bandlimiting , noise (video) , measure (data warehouse) , pixel , point (geometry) , artificial intelligence , pattern recognition (psychology) , mathematics , physics , algorithm , computer vision , statistics , fourier transform , geometry , image (mathematics) , mathematical analysis , data mining
This article presents a fast and accurate method to measure human faces for medical applications. To encode an object point, several random patterns are projected. A correlation technique, which takes only the area of one pixel into account, is used to locate the homologous points. It could be shown that band limited random patterns are helpful for noise reduction. The comparison of the point cloud of a measured plane with an ideal one showed a standard deviation less then 50 mum. Furthermore a depth difference of 20 mum is detectable.

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