A novel method for frontal face detection is presented.
提出了一种新的正面人脸检测算法。
A face detection algorithm is implemented based on rectangle features.
实现了一种基于矩形特征的人脸检测算法。
In this thesis, a study on face detection and tracking in video is presented.
本文主要研究了视频中的人脸检测及跟踪技术。
The mix of these two methods is the base of high rate of skin color based face detection.
两种方法的融入为基于肤色的人脸高检测率的获得提供了保障。
A way of face detection integrating image gray entropy features and SVM classifier is presented.
提出了一种基于支持向量机并综合图像灰度值和灰度熵的人脸检测方法。
This paper promotes a face detection algorithm combining light compensation and skin color model.
本文提出了一种将光线补偿和肤色模型相结合的人脸检测算法。
This paper presents an automatic red-eye removal method based on face detection in digital photos.
提出了一种在人脸检测的基础上自动消除数码照片中红眼的方法。
Finally, it studies the application of the edge detection in human face detection and recognition.
最后通过实例研究了人脸边缘检测在人脸检测和识别中的具体应用。
Based on facial features extraction and verification, we present a new human face detection method.
提出了一种基于特征提取和验证相结合的人脸检测方法。
Due to its complexity, it is difficult to describe the rules of human face detection and recognition.
人脸的检测和识别是一个非常复杂的问题，对它的许多规律和规则进行显性的描述是相当困难的。
Face detection is an image processing course, ascertaining face's location, size and amount in an image.
人脸检测是确定人脸的位置、大小、数目的图像处理过程。
Face detection and recognition technology is an important method for identity authentication using biometrics.
人脸检测与识别技术是利用生物特征技术进行个人身份鉴定的一种重要手段。
There are mainly three steps in pupil detection and tracking: face detection, pupil detection and pupil tracking.
瞳孔检测与跟踪可分为三个阶段：人脸检测、瞳孔检测、瞳孔跟踪。
The standard large face database is required to verity the performance of face detection and recognition algorithm.
为了检验面像检测和识别算法的优劣，需要有大量的人脸样本。
In this paper, a fast human face detection method based on difference image and multi-templates matching is proposed.
提出了一种用差影法与多模板匹配快速实现人脸检测的方法。
Face detection of color images with complex background and face recognition of gray images were studied in this paper.
本文主要研究了复杂背景下的彩色人脸检测和灰度图的人脸识别。
A method of face detection is proposed, which is based on the skin information and improved local binary pattern (LBP).
提出了一种基于肤色信息与改进的局部二值模式(LBP)算法的人脸检测方法。
A complete Human Face Recognition System should include Human Face Detection, Feature Extraction, and Match Recognition.
一个完整的人脸识别系统包括人脸检测、特征提取、以及匹配识别。
The result of the experiment shows that this approach can solve the problem of multi human face detection from complex scene.
实验结果表明，该方法能够较好地解决复杂背景下的正面人脸的检测问题。
In this paper, the authors have presented an algorithm and designed a system for face detection and location based on complexion.
提出一种基于肤色的人脸检测定位算法，设计了基于肤色的人脸检测和定位系统。
To accelerate the speed of face detection and get low false alarm rate, an approach of knowledge-based face detection is proposed.
为了获得具有较高检测率并保持较低误检率的快速人脸检测，提出了一种基于知识的人脸检测方法。
A face detection method based on a hierarchical support vector machines (SVM) presents improved methods for both of these problems.
提出了一种基于层次型支持向量机的正面直立人脸检测方法，在这两方面作了改进。
This paper studies the human face detection by support vector classifier using histograms of color, color edge and its orientation.
研究了利用颜色直方图、颜色边缘幅值和边缘方向直方图特征，基于支撑向量分类器的检测人脸技术。
In this paper, we provide a new human face detection algorithm based on template-matching, Mosaic image and Support Vector Machines.
本文提出了一种基于模板匹配、马赛克图和支持向量机的人脸检测算法。
In addition, a video face detection is implemented to extend the proposed face detection algorithms from still images to moving videos.
本文最后还实现了一个视频人脸检测系统，将人脸检测从静态图片推广到视频的动态检测。
Face detection is an important step in many applications such as human face recognition, video conferencing, human computer interfacing etc.
人脸检测在许多应用中都是重要的一个处理阶段，例如人脸识别、电视会议、人机界面等。
A method for human face detection under complex background is proposed on the basis of human vision mechanism and skin color clustering features.
在人类视觉机制和肤色聚类特性的基础上，提出了一种复杂背景下人脸检测方法。
A automatic face detection and tracking algorithm is presented, which is of very low computational complexity and is rather robust to image content.
给出了一种运算量低、鲁棒性好的人脸自动识别和跟踪算法。
Taking into account of the weakness of a single face detection method based on multiple templates matching, an improved face detection method is presented.
针对一种基于多模板匹配的单人脸检测方法的不足，提出了一种改进的人脸检测方法。
Taking into account of the weakness of a single face detection method based on multiple templates matching, an improved face detection method is presented.
针对一种基于多模板匹配的单人脸检测方法的不足，提出了一种改进的人脸检测方法。
应用推荐