300 faces In-the-wild challenge: database and results

Title:	300 faces In-the-wild challenge: database and results
Authors:	Sagonas, C Antonakos, E Tzimiropoulos, G Zafeiriou, S Pantic, M
Item Type:	Journal Article
Issue Date:	25-Jan-2016
Date of Acceptance:	4-Jan-2016
URI:	http://hdl.handle.net/10044/1/32322
DOI:	https://dx.doi.org/10.1016/j.imavis.2016.01.002
ISSN:	0262-8856
Publisher:	Elsevier
Start Page:	3
End Page:	18
Journal / Book Title:	Image and Vision Computing
Volume:	47
Copyright Statement:	© 2016 Elsevier B.V. All rights reserved. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder:	Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number:	EP/J017787/1 EP/L026813/1
Keywords:	Science & Technology Technology Physical Sciences Computer Science, Artificial Intelligence Computer Science, Software Engineering Computer Science, Theory & Methods Engineering, Electrical & Electronic Optics Computer Science Engineering Facial landmark localization Challenge Semi-automatic annotation tool Facial database ACTIVE APPEARANCE MODELS PICTORIAL STRUCTURES POSE ESTIMATION ALIGNMENT RECOGNITION FEATURES Artificial Intelligence & Image Processing 0801 Artificial Intelligence And Image Processing 0906 Electrical And Electronic Engineering
Publication Status:	Published
Appears in Collections:	Computing Faculty of Engineering