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231224s2013 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2012.206
|2 doi
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|a pubmed24n0753.xml
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|a (DE-627)NLM226045641
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|a (NLM)23520253
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|a DE-627
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|e rakwb
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|a eng
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|a Aldrian, Oswald
|e verfasserin
|4 aut
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|a Inverse rendering of faces with a 3D morphable model
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|c 2013
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 16.09.2013
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|a Date Revised 22.03.2013
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|a published: Print
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|a Citation Status MEDLINE
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|a In this paper, we present a complete framework to inverse render faces with a 3D Morphable Model (3DMM). By decomposing the image formation process into geometric and photometric parts, we are able to state the problem as a multilinear system which can be solved accurately and efficiently. As we treat each contribution as independent, the objective function is convex in the parameters and a global solution is guaranteed. We start by recovering 3D shape using a novel algorithm which incorporates generalization error of the model obtained from empirical measurements. We then describe two methods to recover facial texture, diffuse lighting, specular reflectance, and camera properties from a single image. The methods make increasingly weak assumptions and can be solved in a linear fashion. We evaluate our findings on a publicly available database, where we are able to outperform an existing state-of-the-art algorithm. We demonstrate the usability of the recovered parameters in a recognition experiment conducted on the CMU-PIE database
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|a Journal Article
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|a Smith, William A P
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 35(2013), 5 vom: 23. Mai, Seite 1080-93
|w (DE-627)NLM098212257
|x 1939-3539
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|g volume:35
|g year:2013
|g number:5
|g day:23
|g month:05
|g pages:1080-93
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|u http://dx.doi.org/10.1109/TPAMI.2012.206
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