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

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Title: 300 faces In-the-wild challenge: database and results
Author(s): Sagonas, C
Antonakos, E
Tzimiropoulos, G
Zafeiriou, S
Pantic, M
Item Type: Journal Article
Publication 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
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/J017787/1
EP/L026813/1
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/
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:Faculty of Engineering
Computing



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