Deconvolution-Based Structured Light System with Geometrically Plausible Regularization

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TypeArticle
ConferenceThe 2008 International Congress on Image and Signal Processing (CISP2008), May 27-30, 2008., Sanya, China
AbstractThis paper presents a new deconvolution-based energy formulation for segmenting the image of stripe-based patterns projected by structured light systems. Our framework features an explicit modeling of the blurring introduced by the lens of a structured light system. This allows a significant improvement when working out of focus, a situation which occurs when performing depth measurement. The proposed iterative algorithm includes two steps: a deconvolution and a segmentation. For both steps, a geometrically plausible regularization term is used. It considers the projected displacement induced by the camera, projector and scene configuration. We validate our method using real imagery acquired using off-the-shelf equipment.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number49901
NPARC number5765352
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Record identifier8c04602d-2436-481e-a483-42c2ededffca
Record created2009-03-29
Record modified2016-05-09
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