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人脸检测作为人脸识别算法的前提，是人脸识别诸多应用中的第一步。但人脸检测的应用已不再局限于人脸识别的范畴。作为一种典型的非刚体目的检测课题，其在视觉监测、视频检索、视频通信、虚拟现实、人机交互等应用领域都已表现出重要的应用价值。
本文重点探讨人脸检测系统中待检图像的预处理过程，着重介绍了目标图像的滤波、多尺度表达，最后给出图像的搜索与采集实例。
本文还对人脸检测和各类方法及其特性、发展现状作简要的说明，并详细介绍了Adaboost算法和基于Adaboost算法的人脸检测系统。
Face detection algorithm as the premise of face recognition, face recognition is the first step in many applications. However, the application of face detection is no longer confined to face recognition areas. As a typical non-rigid objective test subject, in the visual monitoring, video search, video communications, virtual reality, interactive applications such as field have shown significant value.
This article focuses on face detection system to be seized in the image of the pretreatment process, focused on the target image filtering, multi-scale expression, the final image is the search and collecting examples.
This paper also face detection and various methods and their characteristics, the development of a brief description and details on the Adaboost algorithm and Adaboost face detection algorithm system.
This article focuses on face detection system to be seized in the image of the pretreatment process, focused on the target image filtering, multi-scale expression, the final image is the search and collecting examples.
This paper also face detection and various methods and their characteristics, the development of a brief description and details on the Adaboost algorithm and Adaboost face detection algorithm system.
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