Effective discretization of Gabor features for real-time face detection

Feijun Jiang*, Bertram Shi, Mika Fischer, Hazim K. Ekenel

*Bu çalışma için yazışmadan sorumlu yazar

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6 Atıf (Scopus)

Özet

We describe a real-time face detector based on Gabor features. While Gabor features often lead to improved performance, they are often avoided as they are perceived as being computationally expensive. We address this in two ways. First, we propose an efficient discrete encoding method for the Gabor feature vector. This enables us to use a computationally efficient multi-stage classifier based on boosting and winnowing. Second, we accelerate computationally complex computations using the parallelization provided by graphics processing units (GPUs). With these innovations, the resulting detector runs at 16.8 fps for 640 x 480 images on a PC equipped with an i5 CPU and a GTX 465 graphic card.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıICIP 2011
Ana bilgisayar yayını alt yazısı2011 18th IEEE International Conference on Image Processing
Sayfalar2057-2060
Sayfa sayısı4
DOI'lar
Yayın durumuYayınlandı - 2011
Harici olarak yayınlandıEvet
Etkinlik2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Süre: 11 Eyl 201114 Eyl 2011

Yayın serisi

AdıProceedings - International Conference on Image Processing, ICIP
ISSN (Basılı)1522-4880

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???event.eventtypes.event.conference???2011 18th IEEE International Conference on Image Processing, ICIP 2011
Ülke/BölgeBelgium
ŞehirBrussels
Periyot11/09/1114/09/11

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