NDLI: Fitting 3D Morphable Face Models using local features

Content Provider	IEEE Xplore Digital Library
Author	Huber, P. Zhen-Hua Feng Christmas, W. Kittler, J. Ratsch, M.
Copyright Year	2015
Description	Author affiliation: Centre for Vision, Speech & Signal Process., Univ. of Surrey, Guildford, UK (Huber, P.; Christmas, W.; Kittler, J.) \|\| Image Understandig & Interactive Robot., Reutlingen Univ., Reutlingen, Germany (Ratsch, M.) \|\| Sch. of IoT Eng., Jiangnan Univ., Wuxi, China (Zhen-Hua Feng)
Abstract	In this paper, we propose a novel fitting method that uses local image features to fit a 3D Morphable Face Model to 2D images. To overcome the obstacle of optimising a cost function that contains a non-differentiable feature extraction operator, we use a learning-based cascaded regression method that learns the gradient direction from data. The method allows to simultaneously solve for shape and pose parameters. Our method is thoroughly evaluated on Morphable Model generated data and first results on real data are presented. Compared to traditional fitting methods, which use simple raw features like pixel colour or edge maps, local features have been shown to be much more robust against variations in imaging conditions. Our approach is unique in that we are the first to use local features to fit a 3D Morphable Model. Because of the speed of our method, it is applicable for realtime applications. Our cascaded regression framework is available as an open source library at github.com/patrikhuber/superviseddescent.
Starting Page	1195
Ending Page	1199
File Size	2322645
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7350989
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Solid modeling Shape Feature extraction Face Cost function Fitting supervised descent 3D Morphable Model cascaded regression local features 3D reconstruction
Content Type	Text
Resource Type	Article

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