基于特征的人脸检测研究综述

Abbas Albakri, S. Al-Mamory, Hadeel H. Alfartosy
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引用次数: 0

摘要

人类和计算机视觉在与计算机的智能交互中起着至关重要的作用,人脸识别是研究领域广泛的课题之一,在过去几十年中,人们在人脸识别、人脸检测、人脸跟踪等方面付出了巨大的努力,但对构建全自动化系统还需要新的算法,这些算法应该是稳健和高效的。任何人脸识别系统的第一步都是人脸检测,人脸检测的目标是提取图像中的人脸区域,考虑到闪电、方位和姿态的变化,只要这一步准确,人脸识别的结果就会更好,本文介绍了基于特征的人脸检测技术和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FEATURE-BASED FACE DETECTION: A SURVEY
Human and computer vision has a vital role in intelligent interaction with computer, face recognition is one of the subjects that have a wide area in researches, a big effort has been exerted in last decades for face recognition, face detection, face tracking, as yet new algorithms for building fully automated system are required, these algorithms should be robust and efficient. The first step of any face recognition system is face detection, the goal of face detection is the extraction of face region within image, taking into consideration lightning, orientation and pose variation, whenever this step accurate the result of face recognition will be better, this paper introduce a survey of techniques and methods of feature based face detection.
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