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231224s2017 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2016.2636661
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|a eng
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1 |
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|a Jingtang Liao
|e verfasserin
|4 aut
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| 245 |
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|a Indoor Scene Reconstruction Using Near-Light Photometric Stereo
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|c 2017
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|a Text
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|a ƒaComputermedien
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|a Date Completed 30.07.2018
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|a Date Revised 30.07.2018
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a We propose a novel framework for photometric stereo (PS) under low-light conditions using uncalibrated near-light illumination. It operates on free-form video sequences captured with a minimalistic and affordable setup. We address issues such as albedo variations, shadowing, perspective projections, and camera noise. Our method uses specular spheres detected with a perspective-correcting Hough transform to robustly triangulate light positions in the presence of outliers via a least-squares approach. Furthermore, we propose an iterative reweighting scheme in combination with an ℓp-norm minimizer to robustly solve the calibrated near-light PS problem. In contrast to other approaches, our framework reconstructs depth, albedo (relative to light source intensity), and normals simultaneously and is demonstrated on synthetic and real-world scenes
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|a Journal Article
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| 700 |
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|a Buchholz, Bert
|e verfasserin
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|a Thiery, Jean-Marc
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bauszat, Pablo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Eisemann, Elmar
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 26(2017), 3 vom: 15. März, Seite 1089-1101
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|g volume:26
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|g month:03
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