Why is facial occlusion a challenging problem?

Hazim Kemal Ekenel, Rainer Stiefelhagen

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

60 Atıf (Scopus)

Özet

This paper investigates the main reason for the obtained low performance when the face recognition algorithms are tested on partially occluded face images. It has been observed that in the case of upper face occlusion, missing discriminative information due to occlusion only accounts for a very small part of the performance drop. The main factor is found to be the registration errors due to erroneous facial feature localization. It has been shown that by solving the misalignment problem, very high correct recognition rates can be achieved with a generic local appearance-based face recognition algorithm. In the case of a lower face occlusion, only a slight decrease in the performance is observed, when a local appearance-based face representation approach is used. This indicates the importance of local processing when dealing with partial face occlusion. Moreover, improved alignment increases the correct recognition rate also in the experiments against the lower face occlusion, which shows that face registration plays a key role on face recognition performance.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıAdvances in Biometrics - Third International Conference, ICB 2009, Proceedings
Sayfalar299-308
Sayfa sayısı10
DOI'lar
Yayın durumuYayınlandı - 2009
Harici olarak yayınlandıEvet
Etkinlik3rd International Conference on Advances in Biometrics, ICB 2009 - Alghero, Italy
Süre: 2 Haz 20095 Haz 2009

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim5558 LNCS
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

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???event.eventtypes.event.conference???3rd International Conference on Advances in Biometrics, ICB 2009
Ülke/BölgeItaly
ŞehirAlghero
Periyot2/06/095/06/09

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