To test the birds' recognition of faces separately from that of clothing, gait and other individual human characteristics, Dr. Marzluff and two students wore rubber masks.
为了测试鸟儿们对不同面孔的辨识能力，并且不是受衣服、步态和其它个体特征的影响，马兹卢夫博士和两个学生都戴上了橡胶面具。
Facial features extraction is one of the essential techniques in automated visual interpretation and recognition of human faces.
人脸面部特征提取是自动视觉翻译和人脸识别中的最关键的技术之一。
A face recognition approach correlative with poses is presented for recognizing pose varied human faces.
针对多姿态人脸识别的情况提出了一种姿态相关的人脸识别方法。
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。
Experiments results show that the new method gains better recognition rate than eigenfaces, especially for pose varied human faces.
实验结果表明，改进后的方法对于识别多姿态人脸达到很好的效果，正确识别率比特征脸法有很大提高。
Prepared with VC++ facial recognition source code, based on facial features to recognize human faces, and interested friends can see!
说明：用 VC++编写的面部识别源程序，根据面部特征识别人脸，感兴趣的朋友可以看看！
The recognition of human faces is an important subject in the area of the computer pattern recognition, which has a wide range of applications.
近年来，在计算机视觉和模式识别领域中，对人脸识别系统的研究变得非常活跃。
Recognition and analysis of human faces can be widely used in such fields as personal identification recognition, safety inspection, human-computer interaction, expression analysis, lip-reading, etc.
人脸的识别和分析可以广泛应用在个人身份识别、安检、人机交互、表情分析、唇读等应用中。
This paper is a study of the recognition of pose varied human faces images.
本文主要研究静止图像的多姿态人脸识别。
This paper is a study of the recognition of pose varied human faces images.
本文主要研究静止图像的多姿态人脸识别。
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