Ecole d'ingénieur et centre de recherche en Sciences du numérique

Impact of multi-focused images on recognition of soft biometric traits

Chiesa, Valéria; Dugelay, Jean-Luc

OPTICS+PHOTONICS 2016, SPIE Optical Engineering + Applications, 28 August-1 September 2016, San Diego, USA

In video surveillance semantic traits estimation as gender and age has always been debated topic because of the uncontrolled environment: while light or pose variations have been largely studied, defocused images are still rarely investigated. Recently the emergence of new technologies, as plenoptic cameras, yields to deal with these problems analyzing multi-focus images. Thanks to a microlens array arranged between the sensor and the main lens, light field cameras are able to record not only the RGB values but also the information related to the direction of light rays: the additional data make possible rendering the image with different focal plane after the acquisition. For our experiments, we use the GUC Light Field Face Database that includes pictures from the First Generation Lytro camera. Taking advantage of light field images, we explore the influence of defocusing on gender recognition and age estimation problems. Evaluations are computed on up-to-date and competitive technologies based on deep learning algorithms. After studying the relationship between focus and gender recognition and focus and age estimation, we compare the results obtained by images defocused by Lytro software with images blurred by more standard filters in order to explore the difference between defocusing and blurring effects. In addition we investigate the impact of deblurring on defocused images with the goal to better understand the different impacts of defocusing and standard blurring on gender and age estimation.

Document Doi Bibtex

Titre:Impact of multi-focused images on recognition of soft biometric traits
Mots Clés:Multi-focused images, gender recognition, age estimation
Type:Conférence
Langue:English
Ville:San Diego
Pays:ÉTATS-UNIS
Date:
Département:Sécurité numérique
Eurecom ref:5023
Copyright: © 2016 Society of Photo-Optical Instrumentation Engineers. This paper is published in OPTICS+PHOTONICS 2016, SPIE Optical Engineering + Applications, 28 August-1 September 2016, San Diego, USA and is made available as an electronic preprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Bibtex: @inproceedings{EURECOM+5023, doi = {http://dx.doi.org/10.1117/12.2237297}, year = {2016}, title = {{I}mpact of multi-focused images on recognition of soft biometric traits}, author = {{C}hiesa, {V}al{\'e}ria and {D}ugelay, {J}ean-{L}uc}, booktitle = {{OPTICS}+{PHOTONICS} 2016, {SPIE} {O}ptical {E}ngineering + {A}pplications, 28 {A}ugust-1 {S}eptember 2016, {S}an {D}iego, {USA}}, address = {{S}an {D}iego, {\'{E}}{TATS}-{UNIS}}, month = {08}, url = {http://www.eurecom.fr/publication/5023} }
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