基于颜色分析的人脸检测算法的比较实现

U. W. Hore, D. Ingole
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引用次数: 0

摘要

人脸检测在视频监控、人脸识别、人机界面、人脸搜索、人脸数据管理等方面发挥着重要作用。人脸区域通常是图像中无关紧要的部分。在本文中,我们主要尝试使用各种颜色分析基础方法进行人脸检测,并对不同背景条件、不同位置、不同比例、不同方向等参数进行比较分析。该方法优于其他肤色分割方法,如基于Adboost算法的彩色图像人脸检测和用于实时人体跟踪的高速肤色分割。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Implementation of Colour Analysis Based Methods for Face Detection Algorithm
Human Face detection plays important role in Video surveillance, face Recognition, Human computer Interface, Face search, Face data management etc. Face Region Usually forms inconsequential part of images. In this paper basically we are trying for face detection Using various color analysis base methods & compare that analysis on various parameters such as different background conditions, positions Scale & orientation in images from several photo collection & database. The proposed method better than other skin colour segmentation method such as Face detection in colour images using Adboost algorithm & High-speed Skin colour Segmentation for Real Time Human Tracking.
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