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StillNoFace SIGNED

Identity matching from still images without face information

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

StillNoFace project word cloud

Explore the words cloud of the StillNoFace project. It provides you a very rough idea of what is the project "StillNoFace" about.

subject active 3d fitting facial capturing decades identities posterior power first variations encode static computed popularity articulated images recognition size modelled computing probabilistic framework image onto human identity views computer models video scenarios matching individuals sequences model vision consists anatomy form parts biometric 2d person pose techniques deformable data learning community gait body missing action handle difficult works projections

Project "StillNoFace" data sheet

The following table provides information about the project.

Coordinator	PANEPISTIMIO IOANNINON Organization address address: PANEPISTEMIOYPOLE PANEPISTEMIO IOANNINON city: IOANNINA postcode: 45110 website: www.uoi.gr / www.rc.uoi.gr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Greece [EL]
Project website	http://www.cs.uoi.gr/
Total cost	168˙391 €
EC max contribution	168˙391 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2014
Funding Scheme	MSCA-IF-GF
Starting year	2015
Duration (year-month-day)	from 2015-09-01 to 2017-08-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	PANEPISTIMIO IOANNINON PANEPISTIMIO IOANNINON Organization address address: PANEPISTEMIOYPOLE PANEPISTEMIO IOANNINON city: IOANNINA postcode: 45110 website: www.uoi.gr / www.rc.uoi.gr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	EL (IOANNINA)	coordinator	168˙391.00
2	University of Houston System University of Houston System Organization address address: EZEKIEL CULLEN BUILDING 203 city: HOUSTON postcode: 772042022 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	US (HOUSTON)	partner	0.00

Map

Project objective

In computer vision, human identity matching from images and/or video has been an active research topic for more than two decades and its popularity is increasing with the increase in computing power. The state of the art techniques are based on face images and gait recognition from long video sequences. However, in many real applications only some static images of the subject may be available where face information is missing (e.g. posterior views). These scenarios have not been addressed by the research community as they are difficult to handle. In this action, we propose a method for matching identities from a set of 2D images of a person without any facial information. The method consists of two steps: at first, the human body is modelled by a 3D articulated model whose pose is estimated by its 2D projections onto the images. Then, biometric features are computed by fitting 3D deformable models to the image data, thus capturing the form and size of the main parts of the anatomy. The overall framework works under a probabilistic framework, with a learning step, in order to encode pose and anatomy variations between a set of individuals that are to be identified.

Publications

List of publications.
year	authors and title	journal	last update
2017	G. Sfikas, B. Gatos and C. Nikou. SemiCCA: a new supervised probabilistic CCA model for keyword spotting. published pages: 1107-1111, ISSN: , DOI:	IEEE International Conference on Image Processing (ICIPâ€™18) 17-20 September 2017, Beijing,	2019-06-13
2017	Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou, Ioannis A. Kakadiaris Inferring Human Activities Using Robust Privileged Probabilistic Learning. published pages: , ISSN: , DOI:	4th Workshop on Transferring and Adapting Source Knowledge in Computer Vision 22-29 October 2017, Venice, Ita	2019-06-13
2017	Nikolaos Sarafianos, Theodore Giannakopoulos, Christophoros Nikou, Ioannis A. Kakadiaris Curriculum Learning for Multi-Task Classification of Visual Attributes. published pages: , ISSN: , DOI:	4th Workshop on Transferring and Adapting Source Knowledge in Computer Vision 22-29 October 2017, Venice, Ita	2019-06-13
2017	C. Nikou MAP tomographic reconstruction with a spatially adaptive hierarchical image model. published pages: 1594-1598, ISSN: , DOI:	25th European Signal Processing Conference (EUSIPCO\'17) 28 August-2 September 2017, Kos	2019-06-13

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