Description: 一个用java编写的人脸识别程序,识别的效果还不错-prepared with a face recognition procedures, identification of the results were pretty good Platform: |
Size: 297511 |
Author:于帆 |
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Description: 一个用java编写的人脸识别程序,识别的效果还不错-prepared with a face recognition procedures, identification of the results were pretty good Platform: |
Size: 296960 |
Author:于帆 |
Hits:
Description: 用于快速分类,图像,人脸识别,等,在机器学习,人工只能,数据挖掘领域有较多的使用。-for rapid classification of images, face recognition, etc., in machine learning, artificial only. Data mining areas with more use. Platform: |
Size: 7168 |
Author:fastlight |
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Description: 该程序用java结合神经网络训练的方法实现了人脸识别的功能。-The program combines neural networks with java training methods realize the face recognition function. Platform: |
Size: 20480 |
Author:孙继开 |
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Description: 人脸识别系统,采用人脸肤色检测进行人脸定位,并采用gabor并结合fisherface进行识别-Face Recognition System, Face Detection to Face color positioning, and use in combination with gabor identify fisherface Platform: |
Size: 2088960 |
Author:addis |
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Description: src are source codes for a manual cropping system, while new folder is a face detection system via skin tone. Platform: |
Size: 124928 |
Author:alan ch ng |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
Platform: |
Size: 2751488 |
Author:minu |
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