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Author |
David Masip |
![find book details (via ISBN) isbn](img/isbn.gif)
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face Classification Using Discriminative Features and Classifier Combination |
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Book Whole |
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Year |
2005 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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CVC (UAB) |
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Ph.D. thesis |
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Jordi Vitria |
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84-933652-3-8 |
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OR;MV |
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no |
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Admin @ si @ Mas2005b |
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602 |
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Author |
Agata Lapedriza |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face Classification using External Face Features |
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Report |
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2005 |
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CVC Technical Report #83 |
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CVC (UAB) |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ Lap2005 |
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551 |
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Author |
Francisco Javier Orozco |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face Detection and Tracking for Facial Expression Analysis |
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2007 |
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CVC Technical Report #103 |
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CVC (UAB) |
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Admin @ si @ Oro2007 |
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818 |
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Author |
Murad Al Haj |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face Detection in Color Images Using Primitive Shape Features |
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Report |
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2008 |
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CVC Technical Report #118 |
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Bellaterra (Spain) |
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ISE |
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no |
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Call Number |
Admin @ si @ AlH2008 |
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945 |
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Author |
Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face detection using template matching and skin color information |
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Miscellaneous |
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Year |
2005 |
Publication |
International Conference on Intelligent Computing, 636–645 |
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Hefei (China) |
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no |
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Call Number |
Admin @ si @ JLY2005 |
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627 |
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Author |
Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li |
![goto web page url](img/www.gif)
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face Presentation Attack Detection (PAD) Challenges |
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Book Chapter |
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Year |
2023 |
Publication |
Advances in Face Presentation Attack Detection |
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Pages |
17–35 |
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In recent years, the security of face recognition systems has been increasingly threatened. Face Anti-spoofing (FAS) is essential to secure face recognition systems primarily from various attacks. In order to attract researchers and push forward the state of the art in Face Presentation Attack Detection (PAD), we organized three editions of Face Anti-spoofing Workshop and Competition at CVPR 2019, CVPR 2020, and ICCV 2021, which have attracted more than 800 teams from academia and industry, and greatly promoted the algorithms to overcome many challenging problems. In this chapter, we introduce the detailed competition process, including the challenge phases, timeline and evaluation metrics. Along with the workshop, we will introduce the corresponding dataset for each competition including data acquisition details, data processing, statistics, and evaluation protocol. Finally, we provide the available link to download the datasets used in the challenges. |
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HUPBA |
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no |
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Call Number |
Admin @ si @ WGE2023b |
Serial |
3956 |
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Author |
Quan-sen Sun; Pheng-ann Heng; Zhong Jin; De-shen Xia |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face recognition based on generalized canonical correlation analysis |
Type |
Book Chapter |
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Year |
2005 |
Publication |
Advances in Intelligent Computing, Lecture Notes in Computer Science, 3645: 958–967 |
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Hefei (China) |
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no |
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Call Number |
Admin @ si @ SHJ2005 |
Serial |
625 |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face Recognition by Artificial Vision Systems: A Cognitive Perspective |
Type |
Journal |
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Year |
2008 |
Publication |
International Journal of Pattern Recognition and Artificial Intelligence |
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IJPRAI |
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Volume |
22 |
Issue |
5 |
Pages |
899–913 |
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Notes |
OR;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ RaV2008b |
Serial |
1007 |
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Permanent link to this record |
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Author |
David Masip; Agata Lapedriza; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face Verification Sharing Knowledge from Different Subjects |
Type |
Conference Article |
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Year |
2007 |
Publication |
2nd International Conference on Computer Vision Theory and Applications |
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Volume |
2 |
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Pages |
268–289 |
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Address |
Barcelona (Spain) |
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Conference |
VISAPP´07 |
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Notes |
OR; MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ MLV2007a |
Serial |
995 |
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Permanent link to this record |
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Author |
Agata Lapedriza; David Masip; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face Verification using External Features |
Type |
Miscellaneous |
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Year |
2006 |
Publication |
7th International Conference on Automatic Face and Gesture Recognition (FG´06), 132– 137 |
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Southampton (United Kingdom) |
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OR;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ LMV2006a |
Serial |
707 |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Face-to-face social activity detection using data collected with a wearable device |
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Conference Article |
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Year |
2009 |
Publication |
4th Iberian Conference on Pattern Recognition and Image Analysis |
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Volume |
5524 |
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Pages |
56–63 |
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In this work the feasibility of building a socially aware badge that learns from user activities is explored. A wearable multisensor device has been prototyped for collecting data about user movements and photos of the environment where the user acts. Using motion data, speaking and other activities have been classified. Images have been analysed in order to complement motion data and help for the detection of social behaviours. A face detector and an activity classifier are both used for detecting if users have a social activity in the time they worn the device. Good results encourage the improvement of the system at both hardware and software level |
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Address |
Póvoa de Varzim, Portugal |
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Springer Berlin Heidelberg |
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LNCS |
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0302-9743 |
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978-3-642-02171-8 |
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IbPRIA |
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Notes |
MILAB;HuPBA |
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no |
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Call Number |
BCNPCL @ bcnpcl @ CPR2009b |
Serial |
1206 |
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Author |
Zhong Jin; Franck Davoine; Zhen Lou |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Facial expression analysis by using KPCA |
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Miscellaneous |
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Year |
2003 |
Publication |
IEEE International Conference on Robotics, Intelligent Systems and Signal Processing (IEEE RISSP 2003), pp736–741 |
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Changsha, Hunan, China |
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Admin @ si @ JDL2003 |
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431 |
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Author |
Fadi Dornaika; Bogdan Raducanu; Alireza Bosaghzadeh |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Facial expression recognition based on multi observations with application to social robotics |
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Book Chapter |
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2015 |
Publication |
Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance |
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153-166 |
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Human-robot interaction is a hot topic nowadays in the social robotics
community. One crucial aspect is represented by the affective communication
which comes encoded through the facial expressions. In this chapter, we propose a novel approach for facial expression recognition, which exploits an efficient and adaptive graph-based label propagation (semi-supervised mode) in a multi-observation framework. The facial features are extracted using an appearance-based 3D face tracker, viewand texture independent. Our method has been extensively tested on the CMU dataset, and has been conveniently compared with other methods for graph construction. With the proposed approach, we developed an application for an AIBO robot, in which it mirrors the recognized facial
expression. |
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Nova Science publishers |
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Bruce Flores |
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OR;MV |
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Admin @ si @ DRB2015 |
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2720 |
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Author |
Bogdan Raducanu; Alireza Bosaghzadeh; Fadi Dornaika |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Facial Expression Recognition based on Multi-view Observations with Application to Social Robotics |
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Conference Article |
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2014 |
Publication |
1st Workshop on Computer Vision for Affective Computing |
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1-8 |
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Human-robot interaction is a hot topic nowadays in the social robotics community. One crucial aspect is represented by the affective communication which comes encoded through the facial expressions. In this paper, we propose a novel approach for facial expression recognition, which exploits an efficient and adaptive graph-based label propagation (semi-supervised mode) in a multi-observation framework. The facial features are extracted using an appearance-based 3D face tracker, view- and texture independent. Our method has been extensively tested on the CMU dataset, and has been conveniently compared with other methods for graph construction. With the proposed approach, we developed an application for an AIBO robot, in which it mirrors the recognized facial
expression. |
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Singapore; November 2014 |
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ACCV |
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OR;MV |
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Admin @ si @ RBD2014 |
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2599 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Facial Expression Recognition for HCI Applications |
Type |
Book Chapter |
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2008 |
Publication |
Encyclopedia of Artificial Intelligence |
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II |
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625–631 |
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IGI–Global Publisher |
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Rabuñal |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ DoR2008c |
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1034 |
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