Multi-view facial landmark detection by using a 3D shape model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00243388" target="_blank" >RIV/68407700:21230/16:00243388 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.imavis.2015.11.003" target="_blank" >http://dx.doi.org/10.1016/j.imavis.2015.11.003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.imavis.2015.11.003" target="_blank" >10.1016/j.imavis.2015.11.003</a>

Result language
angličtina
Original language name
Multi-view facial landmark detection by using a 3D shape model
Original language description
An algorithm for accurate localization of facial landmarks coupled with a head pose estimation from a single monocular image is proposed. The algorithm is formulated as an optimization problem where the sum of individual landmark scoring functions is maximized with respect to the camera pose by fitting a parametric 3D shape model. The landmark scoring functions are trained by a structured output SVM classifier that takes a distance to the true landmark position into account when learning. The optimization criterion is non-convex and we propose a robust initialization scheme which employs a global method to detect a raw but reliable initial landmark position. Self-occlusions causing landmarks invisibility are handled explicitly by excluding the corresponding contributions from the data term. This allows the algorithm to operate correctly for a large range of viewing angles. Experiments on standard ``in-the-wild'' datasets demonstrate that the proposed algorithm outperforms several state-of-the-art landmark detectors especially for non-frontal face images. The algorithm achieves the average relative landmark localization error below 10% of the interocular distance in 98.3% of the 300W dataset test images.
Czech name
—
Czech description
—

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)