Fast Face Detection with Multi-Scale Window Search Free from Image Resizing Using SGI Features ()
ABSTRACT
Face detection is applied to many tasks
such as auto focus control, surveillance, user interface, and face recognition.
Processing speed and detection accuracy of the face detection have been improved
continuously. This paper describes a novel method of fast face detection with
multi-scale window search free from image resizing. We adopt statistics of
gradient images (SGI) as image features and append an overlapping cell array to
improve detection accuracy. The SGI feature is scale invariant and insensitive
to small difference of pixel value. These characteristics enable the
multi-scale window search without image resizing. Experimental results show
that processing speed of our method is 3.66 times faster than a conventional
method, adopting HOG features combined to an SVM classifier, without accuracy
degradation.
Share and Cite:
Miyama, M. (2016) Fast Face Detection with Multi-Scale Window Search Free from Image Resizing Using SGI Features.
Journal of Computer and Communications,
4, 22-29. doi:
10.4236/jcc.2016.410003.
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