搜索资源列表
facedetect 利用摄像机视频流采集识别人脸
- 本例程基于c++6.0和OpenCV结合实现了，利用摄像机视频流采集识别人脸，准确快捷-Based on the routine c++ 6.0 and OpenCV combining realization, the use of video cameras to streaming video collection of face recognition, accurate and fast
opencv
- 一个不错的基于Opencv与VC环境的视频采集图像滤波与角点检测运动跟踪的vc程序.可以实现opencv图像滤波,opencv人脸角点检测,opencv运动跟踪程序-A good VC environment based Opencv and video capture image filtering and corner detection vc motion tracking program. Opencv image filtering can be achieved, opencv fa
face-recognition-
- 利用OpenCV实现的视频采集和人脸识别程序代码-Use the video collection and OpenCV for face recognition
OpenCV-facedetect-system
- 利用OpenCV实现的视频采集和人脸识别程序代码-OpenCV implementation using video capture and recognition of program code
FaceRecognition
- 基于OpenCV实现的人脸检测算法，通过OpenCV实现视频采集和人脸的实时检测-Face detection algorithm to achieve real-time video capture and face detection by the OpenCV
faces_det
- opencv实现的摄像头采集视频，实时显示并检测到人脸，检测到人脸时提高分辨率，可保存视频并回放，-opencv realized camera capture video, real-time display and detects a human face, human face detection to improve the resolution, you can save video and playback,
FaceRecognition_CNN(olivettifaces)
- 智能图像/视频处理中，复杂背景环境（比如室外环境、机场、车站等）下，人脸识别的第一步是人脸的检测。它的精确度直接影响到后期识别的结果。不过，领域内的科学家们基本上很难有足够的精力和时间开发优化的C++代码，使其用于商业用途，而一般都是只在Matlab中进行模拟。 本文的目的是提供一个我开发的SSE优化的，C++库，用于人脸检测，你可以马上把它用于你的视频监控系统中。文章中的分类器的训练数据来自与我的 webcam图像，它们被采集于不同时间，不同光照，不同背景环境下，它几乎可以实时地检测
get_face_from_camera
- 动态色别人脸，采集后形成人脸库，并且能够自动分类-Face acquisition can be achieved, the dynamic recognition of the face after the face collection of parts
HNY_CV_004
- 实时采集并显示双目视频，对双目图像进行人面识别。(Real time acquisition and display of binocular video, binocular images for human face recognition.)
select
- 本程序实现了人脸图片的快速采集，使用环境Python3.x,需要电脑连接摄像头，打开PythonIDLE，按下F5运行代码即可进行采集图片(This program has achieved the rapid acquisition of face images. The Python3.x of the environment needs computer to connect the camera, open PythonIDLE and press F5 to run the code