Simplified Static Image Face Detection Algorithm

S.A.R. Zaidi, Shyma Zaidi, K. Samad, A.A. Iqbal
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引用次数: 2

Abstract

Although there are thousands of algorithms available for face extraction from static images based on histogram intersection technique or feature based face detection but these are still complex and it is not a trivial task to implement these algorithm, as a matter of fact most programmers regard these techniques as time chewing monsters because most of newly available programming languages does not provide any specific support for achieving the task. Hence we require a simplified algorithm, which can easily operate under normal circumstances and can easily be implemented by a programmer having technical knowledge instead of getting in to very coarse-grained mathematical details. The algorithm we discuss in this paper is some how uses histogram technique but it is not the purely dependent on histogram intersection or some other technique. There are some pros and cons of every system and thus this system is also not hundred percent perfect, how ever over the time we can develop a system with capability of detecting multiple faces in a single image and naturally combining couple of more algorithms, we can also achieve 3D face detection. In this paper a prototype is implemented using Microsoft GDI+ within limitations of managed and safe code.
简化静态图像人脸检测算法
尽管基于直方图交叉技术或基于特征的人脸检测的静态图像人脸提取算法有上千种,但这些算法仍然很复杂,实现这些算法并不是一件容易的事情,事实上,大多数程序员都将这些技术视为时间咀嚼怪物,因为大多数新出现的编程语言都没有提供任何具体的支持来实现这一任务。因此,我们需要一个简化的算法,它可以很容易地在正常情况下操作,并且可以很容易地由具有技术知识的程序员实现,而不是进入非常粗粒度的数学细节。我们讨论本文的算法是一些如何使用直方图技术,但并不是纯粹依赖直方图相交或其他技术。每个系统都有一些优点和缺点,因此这个系统也不是百分之百完美,但是随着时间的推移,我们可以开发一个能够在一张图像中检测多个人脸的系统,并自然地结合更多的算法,我们也可以实现3D人脸检测。本文在受托管和安全代码限制的情况下,使用Microsoft GDI+实现了一个原型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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