Výsledky vyhledávání - "William J. Christmas"

Efficient 3D morphable face model fitting

Autor: Zhen-Hua Feng, Chi-Ho Chan, William J. Christmas, Patrik Huber, Fei Yan, Josef Kittler, Guosheng Hu

Publikováno v: Pattern Recognition. 67:366-379

We propose an efficient stepwise optimisation (ESO) strategy that optimises sequentially the pose, shape, light direction, light strength and skin texture parameters in separate steps leading to an accurate and efficient fitting.A perspective camera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02ad67b44309f8303d147f4e9ab98cc6
https://doi.org/10.1016/j.patcog.2017.02.007

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Real-Time 3D Face Fitting and Texture Fusion on In-the-Wild Videos

Autor: Matthias Rätsch, Philipp Kopp, William J. Christmas, Josef Kittler, Patrik Huber

Publikováno v: IEEE Signal Processing Letters. 24:437-441

We present a fully automatic approach to real-time 3D face reconstruction from monocular in-the-wild videos. With the use of a cascaded-regressor-based face tracking and a 3D morphable face model shape fitting, we obtain a semidense 3D face shape. We

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b527bfe2121b1000f0d44b06b059090
https://doi.org/10.1109/lsp.2016.2643284

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Genetics of the human face: Identification of large-effect single gene variants

Autor: Abdelhamid Boumertit, Tim D. Spector, Walter F. Bodmer, William J. Christmas, Tammy Day, Pirro G. Hysi, Ayrun Nessa, Devendra Meena, Josef Kittler, Bruce Winney, Willem P. Koppen, Daniel J.M. Crouch, Katarzyna Hutnik

To discover specific variants with relatively large effects on the human face, we have devised an approach to identifying facial features with high heritability. This is based on using twin data to estimate the additive genetic value of each point on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::255e15924118147b1e10d7677a6e820a
https://ora.ox.ac.uk/objects/uuid:9fc57e9f-c1b2-4e1d-a348-355053806ee9

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Face Spoofing Detection Based on Multiple Descriptor Fusion Using Multiscale Dynamic Binarized Statistical Image Features

Autor: Josef Kittler, Shervin Rahimzadeh Arashloo, William J. Christmas

Publikováno v: IEEE Transactions on Information Forensics and Security. 10:2396-2407

Face recognition has been the focus of attention for the past couple of decades and, as a result, a significant progress has been made in this area. However, the problem of spoofing attacks can challenge face biometric systems in practical applicatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::947efbfae39332677f311537b3e2024d
https://doi.org/10.1109/tifs.2015.2458700

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Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting

Autor: Zhen-Hua Feng, William J. Christmas, Josef Kittler, Guosheng Hu, Xiaojun Wu

Publikováno v: IEEE Transactions on Image Processing. 24:3425-3440

A large amount of training data is usually crucial for successful supervised learning. However, the task of providing training samples is often time-consuming, involving a considerable amount of tedious manual work. In addition, the amount of trainin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dc9d05048fec4dd35c45b8a6d68461f
https://doi.org/10.1109/tip.2015.2446944

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The genetics of the human face: identification of large effect single gene variants

Autor: Abdelhamid Boumertit, Ayrun Nessa, Katarzyna Hutnik, Devendra Meena, Daniel J.M. Crouch, Walter F. Bodmer, Pirro G. Hysi, Josef Kittler, Bruce Winney, Willem P. Koppen, William J. Christmas, Tammy Day, Tim D. Spector

In order to discover specific variants with relatively large effects on the human face we have devised an approach to identifying facial features with high heritability. This is based on using twin data to estimate the additive genetic value of each

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eabc0098abda1914040b67c684aa846
https://doi.org/10.1101/165266

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Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting

Autor: Josef Kittler, Zhen-Hua Feng, Xiao-Jun Wu, William J. Christmas, Patrik Huber

Publikováno v: CVPR

We present a new Cascaded Shape Regression (CSR) architecture, namely Dynamic Attention-Controlled CSR (DAC-CSR), for robust facial landmark detection on unconstrained faces. Our DAC-CSR divides facial landmark detection into three cascaded sub-tasks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2958139bf7e9252dbca82222296082a0
https://doi.org/10.1109/cvpr.2017.392

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