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

Frontal-to-side face re-identification based on hair, skin and clothes patches

Dantcheva, Antitza; Dugelay, Jean-Luc

AVSS 2011, IEEE International Conference on Advanced Video and Signal-Based Surveillance, August 30-September 2, 2011, Klagenfurt, Austria

Despite recent advances, face-recognition algorithms are still challenged when applied in the setting of video surveillance systems which inherently introduce variations in the pose of subjects. The present work addresses this problem, and seeks to provide a recognition algorithm that is specifically suited for a frontal-to-side re-identification setting. Deviating from classical biometric approaches, the proposed method considers color- and texture- based soft biometric traits, specifically those taken from patches of hair, skin and clothes. The proposed method and the suitability of these patch-based traits are then validated both analytically and empirically.  

Document Doi Bibtex

Titre:Frontal-to-side face re-identification based on hair, skin and clothes patches
Département:Sécurité numérique
Eurecom ref:3404
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Bibtex: @inproceedings{EURECOM+3404, doi = { }, year = {2011}, title = {{F}rontal-to-side face re-identification based on hair, skin and clothes patches}, author = {{D}antcheva, {A}ntitza and {D}ugelay, {J}ean-{L}uc}, booktitle = {{AVSS} 2011, {IEEE} {I}nternational {C}onference on {A}dvanced {V}ideo and {S}ignal-{B}ased {S}urveillance, {A}ugust 30-{S}eptember 2, 2011, {K}lagenfurt, {A}ustria}, address = {{K}lagenfurt, {AUTRICHE}}, month = {08}, url = {} }
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