| Download | - View accepted manuscript: Deconvolution-Based Structured Light System with Geometrically Plausible Regularization (PDF, 1.2 MiB)
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| Author | Search for: Drouin, Marc-Antoine; Search for: Godin, Guy |
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| Format | Text, Article |
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| Conference | The 2008 International Congress on Image and Signal Processing (CISP2008), May 27-30, 2008, Sanya, China |
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| Abstract | This 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. |
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| Publication date | 2008 |
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| In | |
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| Language | English |
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| NRC number | NRCC 49901 |
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| NPARC number | 5765352 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 8c04602d-2436-481e-a483-42c2ededffca |
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| Record created | 2009-03-29 |
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| Record modified | 2020-08-12 |
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