Scipediacontent: Scipediacontent moved page Draft Content 801129234 to Smith et al 2020a

2021-02-03T17:10:06Z

Scipediacontent moved page Draft Content 801129234 to Smith et al 2020a

Scipediacontent: Created page with " == Abstract == In this paper, we bring together two divergent strands of research: photometric face capture and statistical 3D face appearance modelling. We propose a novel..."

2021-02-03T17:10:03Z

Created page with " == Abstract == In this paper, we bring together two divergent strands of research: photometric face capture and statistical 3D face appearance modelling. We propose a novel..."

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== Abstract ==

In this paper, we bring together two divergent strands of research: photometric face capture and statistical 3D face appearance modelling. We propose a novel lightstage capture and processing pipeline for acquiring ear-to-ear, truly intrinsic diffuse and specular albedo maps that fully factor out the effects of illumination, camera and geometry. Using this pipeline, we capture a dataset of 50 scans and combine them with the only existing publicly available albedo dataset (3DRFE) of 23 scans. This allows us to build the first morphable face albedo model. We believe this is the first statistical analysis of the variability of facial specular albedo maps. This model can be used as a plug in replacement for the texture model of the Basel Face Model (BFM) or FLAME and we make the model publicly available. We ensure careful spectral calibration such that our model is built in a linear sRGB space, suitable for inverse rendering of images taken by typical cameras. We demonstrate our model in a state of the art analysis-by-synthesis 3DMM fitting pipeline, are the first to integrate specular map estimation and outperform the BFM in albedo reconstruction.

Comment: CVPR 2020

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/2004.02711 http://arxiv.org/abs/2004.02711]

* [http://eprints.whiterose.ac.uk/164169/1/Smith_A_Morphable_Face_Albedo_Model_CVPR_2020_paper_1_.pdf http://eprints.whiterose.ac.uk/164169/1/Smith_A_Morphable_Face_Albedo_Model_CVPR_2020_paper_1_.pdf]

* [http://xplorestaging.ieee.org/ielx7/9142308/9156271/09156599.pdf?arnumber=9156599 http://xplorestaging.ieee.org/ielx7/9142308/9156271/09156599.pdf?arnumber=9156599],
: [http://dx.doi.org/10.1109/cvpr42600.2020.00506 http://dx.doi.org/10.1109/cvpr42600.2020.00506]

* [https://dblp.uni-trier.de/db/conf/cvpr/cvpr2020.html#SmithSDTTE20 https://dblp.uni-trier.de/db/conf/cvpr/cvpr2020.html#SmithSDTTE20],
: [https://openaccess.thecvf.com/content_CVPR_2020/papers/Smith_A_Morphable_Face_Albedo_Model_CVPR_2020_paper.pdf https://openaccess.thecvf.com/content_CVPR_2020/papers/Smith_A_Morphable_Face_Albedo_Model_CVPR_2020_paper.pdf],
: [https://www.arxiv-vanity.com/papers/2004.02711 https://www.arxiv-vanity.com/papers/2004.02711],
: [https://openaccess.thecvf.com/content_CVPR_2020/html/Smith_A_Morphable_Face_Albedo_Model_CVPR_2020_paper.html https://openaccess.thecvf.com/content_CVPR_2020/html/Smith_A_Morphable_Face_Albedo_Model_CVPR_2020_paper.html],
: [https://academic.microsoft.com/#/detail/3034771054 https://academic.microsoft.com/#/detail/3034771054]

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Scipediacontent: Scipediacontent moved page Draft Content 801129234 to Smith et al 2020a

Scipediacontent: Created page with " == Abstract == In this paper, we bring together two divergent strands of research: photometric face capture and statistical 3D face appearance modelling. We propose a novel..."