人脸识别的局部模式

Chih-Wei Lin
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引用次数: 1

摘要

局部模式的主要目的是描述具有高判别性特征的图像,使局部模式描述符更适合人脸识别。“局部”一词代表测量图像的子区域,是本章的关键。无论提出何种技术,局部模式都是人脸识别中最有趣的领域之一。局部面部描述符是一种局部模式,它通过考虑图像的子区域来生成描述符。基于局部面部描述符的各种组合方法的技术并不罕见。本章主要是帮助读者对局部模式描述符以及它们如何应用于人脸识别有一个基本的了解。我们开始描述人脸识别中的局部模式及其相关的面部描述符的轮廓。接下来,我们介绍了流行的本地模式,并建立了示例来演示每种方法的过程。在本章的最后,我们通过讨论与本地模式的属性相关的问题来总结这些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local Patterns for Face Recognition
The main objective of the local pattern is to describe the image with high discriminative features so that the local pattern descriptors are more suitable for face recognition. The word “ local ” represents the measured image with the subregion and is the key in this chapter. Regardless of the techniques proposed, the local pattern is one of the most interesting areas in face recognition. The local facial descriptor is a local pattern that generates the descriptor by considering the subregion of an image. Techniques based on various combination methods from the local facial descriptors are not unusual. This chapter is concerned primarily to help the reader to develop a basic understanding of the local pattern descriptors and how they apply to face recognition. We begin to describe the outline of the local pattern in face recognition and its relative facial descriptors. Next, we give an introduction to the popular local patterns and establish examples to demonstrate the process of each method. To the end of this chapter, we conclude those methods with a discussion of issues related to the properties of the local patterns.
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