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Real Time Face Detection and Segmentation

机译:实时面部检测和分割

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摘要

Face detection is a computer technology used in a diversity of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Face-detection algorithms focus on the detection of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process. There are many algorithms busied for this topic each of which has its own characteristics and level of accuracy. In this paper, some of those algorithms will be discussed in addition to Viola-Jones Algorithm after getting in to the details of Face Detection's notion and applications.
机译:面部检测是一种用于在数字图像中识别人类面的多样性的计算机技术。面部检测还指的是人类在视觉场景中找到和参加面孔的心理过程。面部检测可以被视为对象类检测的具体情况。在对象类检测中,任务是在属于给定类的图像中找到所有对象的位置和大小。面部检测算法专注于跨越人脸的检测。它类似于图像检测,其中一个人的图像逐位匹配比特。图像与数据库中的图像存储匹配。数据库中的任何面部功能更改都将使匹配过程无效。对于这个主题总共有许多算法,每个算法都有自己的特点和精度水平。在本文中,除了进入面部检测的概念和应用程序的细节之后,还将讨论其中一些算法。

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