In the last decade facial age estimation has grown its importance in computer vision. In this paper we propose an efficient and effective age estimation system from face imagery. To assess the quality of the proposed approach we compare the results obtained by our system with those achieved by other recently published methods on a very large dataset of more than 55K images of people with different gender and ethnicity. These results show how a carefully engineered pipeline of efficient image analysis and pattern recognition techniques leads to state-of-the-art results at 20FPS using a single thread on a 1.6GHZ i5-2467M processor.

Real-Time age estimation from face imagery using fisher vectors / Seidenari, Lorenzo; Rozza, Alessandro; Del Bimbo, Alberto. - ELETTRONICO. - 9280:(2015), pp. 172-182. (Intervento presentato al convegno 18th International Conference on Image Analysis and Processing, ICIAP 2015 tenutosi a ita nel 2015) [10.1007/978-3-319-23234-8_17].

Real-Time age estimation from face imagery using fisher vectors

SEIDENARI, LORENZO;DEL BIMBO, ALBERTO
2015

Abstract

In the last decade facial age estimation has grown its importance in computer vision. In this paper we propose an efficient and effective age estimation system from face imagery. To assess the quality of the proposed approach we compare the results obtained by our system with those achieved by other recently published methods on a very large dataset of more than 55K images of people with different gender and ethnicity. These results show how a carefully engineered pipeline of efficient image analysis and pattern recognition techniques leads to state-of-the-art results at 20FPS using a single thread on a 1.6GHZ i5-2467M processor.
2015
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
18th International Conference on Image Analysis and Processing, ICIAP 2015
ita
2015
Seidenari, Lorenzo; Rozza, Alessandro; Del Bimbo, Alberto
File in questo prodotto:
File Dimensione Formato  
real_time_age_estimation_iciap.pdf

Accesso chiuso

Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 991.32 kB
Formato Adobe PDF
991.32 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1078839
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact