A hybrid method for 3D face localization

Qaim Mehdi Rizvi, Qamar Abbas, Hasan Ahmad
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引用次数: 1

Abstract

Face localization is always a challenging job for a good recognition scheme. If process has to be done for 3D faces, it is quit difficult to localize faces. In this paper we provide a face localization scheme which is based on Average Threshold Value (AVT) and Grayscale Pixel Value Band (GPVB) with the help of Histogram Equalization. We experiment this approach on a synthetic 3D morphable face model of 20 individuals and get 89.51% accuracy among 20 faces with same lighting condition, which is appreciative for further work on same stream.
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一种三维人脸定位的混合方法
对于一个好的识别方案来说,人脸定位一直是一项具有挑战性的工作。如果要对三维人脸进行处理,那么人脸的定位是非常困难的。本文提出了一种基于平均阈值(AVT)和灰度像素值带(GPVB)的直方图均衡化人脸定位方案。我们在20个人的合成三维变形人脸模型上进行了实验,在相同光照条件下,20张人脸的准确率达到了89.51%,这对今后在同一流上的研究具有一定的参考价值。
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