Suspect identification based on descriptive facial attributes

Brendan F. Klare*, Scott Klum, Joshua C. Klontz, Emma Taborsky, Tayfun Akgul, Anil K. Jain

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

43 Atıf (Scopus)

Özet

We present a method for using human describable face attributes to perform face identification in criminal investigations. To enable this approach, a set of 46 facial attributes were carefully defined with the goal of capturing all describable and persistent facial features. Using crowd sourced labor, a large corpus of face images were manually annotated with the proposed attributes. In turn, we train an automated attribute extraction algorithm to encode target repositories with the attribute information. Attribute extraction is performed using localized face components to improve the extraction accuracy. Experiments are conducted to compare the use of attribute feature information, derived from crowd workers, to face sketch information, drawn by expert artists. In addition to removing the dependence on expert artists, the proposed method complements sketchbased face recognition by allowing investigators to immediately search face repositories without the time delay that is incurred due to sketch generation.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781479935840
DOI'lar
Yayın durumuYayınlandı - 23 Ara 2014
Etkinlik2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014 - Clearwater, United States
Süre: 29 Eyl 20142 Eki 2014

Yayın serisi

AdıIJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014
Ülke/BölgeUnited States
ŞehirClearwater
Periyot29/09/142/10/14

Bibliyografik not

Publisher Copyright:
© 2014 IEEE.

Parmak izi

Suspect identification based on descriptive facial attributes' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap