Search - eyes - CodeBus

Search - eyes - List

[Documents] 基于眼裂的人脸图像归一化.doc DL : 0: 针对人脸识别中图像前期处理的人脸图像归一化问题，用AdaBoost Cascade方法检测出人脸和眼裂，提出以两眼裂中心点连线为基准进行水平旋转和尺度的归一化矫正方法。与通常的利用两眼瞳距方法相比较，该方法更加快速准确，能处理多达20°的倾斜，对戴眼镜、图像模糊、俯视、仰视、斜视等情况的鲁棒性更好。 A novel approach was presented, using the line between the two center points of the palpebral fissures of two eyes to normalize the face images for the image pretreatment of face recognition. The AdaBoost Cascade method was used to detect faces and palpebral fissures. It could deal with tilt from 0°to 20°, and get more robust outcomes than that using the line between two pupils commonly in dealing with the image being veiled, overlooking, looking up, sidelong and having on glasses.
Date : 2010-10-03 Size : 600kb User : lichaoyou
[Documents] 眼睛定位的文章 DL : 0: 几篇关于眼睛定位的cnki上下载的文章，都看过，中文文章里相对比较好-few eyes on the positioning of cnki download articles have seen, the Chinese essay relatively good
Date : 2025-12-26 Size : 2.63mb User : 吴俊强
[Documents] Facerecognition DL : 0: 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为当前模式识别和人工智能领域的一个研究热点。本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率- Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries , video meeting, and human-computer intelligent interactions. The paper introduced the method of face recognition that based on the 24 bit multicolor image, Main content that the paper introduced is the picture treatment, It occupies the extremely important position in the whole software, the quality of picture process directly influenced the accuracy rate of localization and discerning. The picture process technology that the software mainly used included : light compensating、gauss smooth and twain value method. before discerning, we compensated the light for image, then we could obtain the possible face area through the complexion, finally, the system could depend on the symmetry of eyes to make sure whether it is the face of people, at the same time, the system could eliminate noises through the method that named gauss smoothness, then we use
Date : 2025-12-26 Size : 2.18mb User : 张雨
[Documents] rennian DL : 0: 一种基于肤色分割、区域分析和模板分布的彩色图像人脸检测算法.首先对输入的彩色图像利用混合高斯模型和亮度模型进行分割,然后根据人脸五官的结构特征对得到的区域进一步分析处理,获得所有可能的候选人脸.接着构造了一种基于双眼和人脸模板的概率模型并利用其对候选人脸进行最终检测.-Based on skin color segmentation, regional analysis and the template in color images of face detection algorithm. First, the input color image using mixture Gaussian model and the brightness model segmentation, then under the facial features of the structure on further analysis by region treatment to obtain all possible candidates face. then constructs a template based on the eyes and face the probability model and use its candidates face final test.
Date : 2025-12-26 Size : 573kb User : 麦高
[Documents] dnwxpddk DL : 0: [电子书][电脑][教学]故障维修判断指导大全,这是一本文本格式的书,比较顺眼看着-[Books] [Computer] [Education] determine fault repair guide Daquan, this is a paper book in this format, easy on the eyes looking at
Date : 2025-12-26 Size : 35kb User : ouyangxiaoxue
[Documents] 201306553705 DL : 0: In recent years, face detection has been thoroughly studied due to its wide potential applications, including face recognition, human-computer interaction, video surveillance, etc. Especially, in the context of face recognition, the detection of faces along with the detection of some fiducial points, such as the eyes and mouth, is the first step of the face recognition system, and this step largely affects the performance of the overall system.
Date : 2025-12-26 Size : 3.72mb User : HIYAM
[Documents] 1 DL : 0: In recent years, face detection has been thoroughly studied due to its wide potential applications, including face recognition, human-computer interaction, video surveillance, etc. Especially, in the context of face recognition, the detection of faces along with the detection of some fiducial points, such as the eyes and mouth, is the first step of the face recognition system, and this step largely affects the performance of the overall system.
Date : 2025-12-26 Size : 3.96mb User : HIYAM