Facial Feature Detection and Extraction using Symmetry and Region-based Deformable Template Matching
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_048
تاریخ نمایه سازی: 24 خرداد 1388
Abstract:
In this paper, we propose a method for selecting the symmetry axis of eyes region from two or more candidates. We propose a region-based deformable template matching from two new defined operations: intensity-based 2-clustering and edge shadowing. The results display the effectiveness of our method for extraction of eye, eyebrow and nose templates. The parameters of these templates can be used as feature vectors in low bit rate transmission. Evaluation of the proposed method on an Iranian database shows the accuracy of 99% for feature region extraction and 86% in average for feature template extraction
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Authors
Hoda Bahonar
Dep. of Computer & Electronics Engineering/Tarbiat Modares University, Tehran, Iran.
Nasrollah M Charkari
Dep. of Computer & Electronics Engineering/Tarbiat Modares University, Tehran, Iran.