300 Faces in-the-Wild Challenge: the first facial landmark localization challenge
Automatic facial point detection plays arguably the most important role in face analysis. Several methods have been proposed which reported their results on databases of both constrained and unconstrained conditions. Most of these databases provide annotations with different mark-ups and in some cas...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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2013
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| Online Access: | https://eprints.nottingham.ac.uk/31434/ |
| _version_ | 1848794200972197888 |
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| author | Sagonas, Christos Tzimiropoulos, Georgios Zafeiriou, Stefanos Pantic, Maja |
| author_facet | Sagonas, Christos Tzimiropoulos, Georgios Zafeiriou, Stefanos Pantic, Maja |
| author_sort | Sagonas, Christos |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Automatic facial point detection plays arguably the most important role in face analysis. Several methods have been proposed which reported their results on databases of both constrained and unconstrained conditions. Most of these databases provide annotations with different mark-ups and in some cases the are problems related to the accuracy of the fiducial points. The aforementioned issues as well as the lack of a evaluation protocol makes it difficult to compare performance between different systems. In this paper, we present the 300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge which is held in conjunction with the International Conference on Computer Vision 2013, Sydney, Australia. The main goal of this challenge is to compare the performance of different methods on a new-collected dataset using the same evaluation protocol and the same mark-up and hence to develop the first standardized benchmark for facial landmark localization. |
| first_indexed | 2025-11-14T19:12:25Z |
| format | Conference or Workshop Item |
| id | nottingham-31434 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:12:25Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-314342020-05-04T20:18:31Z https://eprints.nottingham.ac.uk/31434/ 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge Sagonas, Christos Tzimiropoulos, Georgios Zafeiriou, Stefanos Pantic, Maja Automatic facial point detection plays arguably the most important role in face analysis. Several methods have been proposed which reported their results on databases of both constrained and unconstrained conditions. Most of these databases provide annotations with different mark-ups and in some cases the are problems related to the accuracy of the fiducial points. The aforementioned issues as well as the lack of a evaluation protocol makes it difficult to compare performance between different systems. In this paper, we present the 300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge which is held in conjunction with the International Conference on Computer Vision 2013, Sydney, Australia. The main goal of this challenge is to compare the performance of different methods on a new-collected dataset using the same evaluation protocol and the same mark-up and hence to develop the first standardized benchmark for facial landmark localization. 2013-12 Conference or Workshop Item PeerReviewed Sagonas, Christos, Tzimiropoulos, Georgios, Zafeiriou, Stefanos and Pantic, Maja (2013) 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge. In: 2013 IEEE International Conference on Computer Vision (ICCV), 2-8 Dec 2013, Sydney, Australia. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6755925 |
| spellingShingle | Sagonas, Christos Tzimiropoulos, Georgios Zafeiriou, Stefanos Pantic, Maja 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge |
| title | 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge |
| title_full | 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge |
| title_fullStr | 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge |
| title_full_unstemmed | 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge |
| title_short | 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge |
| title_sort | 300 faces in-the-wild challenge: the first facial landmark localization challenge |
| url | https://eprints.nottingham.ac.uk/31434/ https://eprints.nottingham.ac.uk/31434/ |