DocumentCode
2120521
Title
Shading constraint improves accuracy of time-of-flight measurements
Author
Bohme, Martin ; Haker, Martin ; Martinetz, Thomas ; Barth, Erhardt
Author_Institution
Inst. for Neuro- & Bioinf., Univ. of Lubeck, Lubeck
fYear
2008
fDate
23-28 June 2008
Firstpage
1
Lastpage
6
Abstract
We describe a technique for improving the accuracy of range maps measured by time-of-flight (TOF) cameras. The technique is based on the observation that the range map and intensity image measured by a TOF camera are not independent but are linked by the shading constraint: If the reflectance properties of the surface are known, a certain range map implies a corresponding intensity image. We impose the shading constraint using a probabilistic model of image formation and find a maximum a posteriori estimate for the true range map. We present results on both synthetic and real TOF camera images that demonstrate the robust shape estimates achieved by the algorithm.
Keywords
image processing; image sensors; maximum likelihood estimation; image formation; image registration; intensity image; maximum a posteriori estimation; probabilistic model; shading constraint; time-of-flight cameras; time-of-flight measurements; Bioinformatics; Cameras; Constraint theory; Image reconstruction; Image sensors; Maximum a posteriori estimation; Reflectivity; Robustness; Shape measurement; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location
Anchorage, AK
ISSN
2160-7508
Print_ISBN
978-1-4244-2339-2
Electronic_ISBN
2160-7508
Type
conf
DOI
10.1109/CVPRW.2008.4563157
Filename
4563157
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