This paper presents a boundary estimation method of human face images.
提出一种估计图像中人脸边界的方法。
Given a human face images, can be identified in a pile in the picture!
给定一张人脸图像，能在一堆图片中识别出来！
Finally, this method is used to solve the recognition problem of human face images which is one of the most difficult problems in pattern recognition.
最后，我们将此方法用于解决图象识别中非常困难的人像识别问题。
A novel region adaptive learning-based super resolution algorithm for human face images is proposed, which divides a face image into flat regions and detailed regions.
提出一种基于区域自适应学习的人脸图像超分辨率复原算法。
Use the image illumination correction, reduce the dimension of face images and different lighting conditions, the use of human face images improved the BP neural network for recognition.
运用了图像进行光照校正，人脸图像进行降维及不同的光照条件下的人脸图像运用改进型的BP神经网络对进行识别。
The researchers then tested the dogs' ability to distinguish between human facial expressions by showing them the other half of the person's face on images totally different from the ones used in training.
研究人员随后给狗狗展示与训练中完全不同的人的另一半脸，来测试它们区分人类面部表情的能力。
According to the feature of ear and its position on the side face a method based on edge-tracking was adopted for human ear localization and extraction from side face images.
根据外耳及其所在位置的特征，提出了一种从侧脸图像上准确定位并提取出人耳的新方法。
To clarify the timing and speed of emotional processing in the two human brain hemispheres, event-related potentials (ERPs) were recorded during hemifield presentation of face images.
为了厘清在两个人类半脑中时间和情绪运作的速度，事件诱发电位（ERPs）被记录在人脸图像单侧视野呈显的期间。
The eigen skin-color method is for the color images. For gray images, this paper USES face recognition method based on hidden Markov models to detect human faces.
特征肤色的方法是针对彩色图像的人脸检测方法，针对灰度图像本文采用基于隐马尔可夫模型的人脸识别方法来检测人脸。
Since illumination condition effects recognition ratio for human face greatly, while average gray value of every face image is different, we must standardize gray value of face images.
由于人脸识别率受照明条件的影响较大，而各个人脸图像的平均灰度值各不相同，所以必须对人脸图像进行灰度归一化。
Best viewpoint selection in multiple cameras plays an important role in many applications such as human-machine interaction, videoconference, and face recognition in sequence images.
多摄像机环境中的人脸最优视角选择在多通道人机交互，视频会议，序列图像中的人脸识别等领域有着广泛的应用。
A database involving 50 images of human face is built up by this system. Head outline and feature points of human face can be effectively achieved by this method, as shown by experimental results.
本系统建了一个包含50个人脸图象的数据库，实验结果表明这种方法可以有效地获取头部轮廓和人脸特征点。
Meanwhile human face as the visual object of images and videos is taking an important position of status in the studying area of computer vision, pattern recognition and multimedia technology.
与此同时，在计算机视觉、模式识别和多媒体技术等研究领域中，人脸作为图像与视频中的视觉对象之一，占有非常重要的地位。
Face detection is the most important aspect of facial analysis, which dealt with the problem is to identify the image (or images) in the presence of human faces, if there is to locate human faces.
用c++编写。人脸检测是人脸分析的首要环节，其处理的问题是确认图像(或影像)中是否存在人脸，如果存在则对人脸进行定位。
Automatic face Recognition (AFR) aims at endowing computers with the ability to identify different human beings according to face images.
自动人脸识别(afr)研究试图赋予计算机根据面孔辨别人物身份的能力。
Automatic face Recognition (AFR) aims at endowing computers with the ability to identify different human beings according to face images.
自动人脸识别(afr)研究试图赋予计算机根据面孔辨别人物身份的能力。
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