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77433670Homework_191007
- 人脸的检测与定位算法源码，主用是采用人脸的灰度信息进行人脸的检测，并定位鼻子眼睛和嘴--Face detection and location algorithm source code, the main use is the human face of gray information Face Detection, positioning the nose and eyes and mouth
chap7
- 人脸检测，能够通过扫描图片采用一系列图像处理方法最后把鼻子、眼睛、嘴巴在面部上勾勒出来-Face detection, able to scan images using a series of image processing methods before bringing the nose, eyes, mouth on the face sketched out on the face
kalman_filter
- 应用于在地面有起始运动的卡尔曼滤波器。物体运动检测识别。-The filter was applied to trajectory of body that start motion on the ground with velocity start at angle 40 degrees. First part of the code generate this motion. Nose added to simulate nose of measurement or nose of obje
FaceDetection
- 在图形图像领域的一个应用，包括人脸的区域检测，标记眼睛嘴巴，鼻子的位置-In the area of a graphic image applications, including the face area detection, marking the eyes mouth, nose, location, etc.
Ffacce-locatia
- 人脸定位与识别的Visual C++实例。提供了友好的操作界面。输入人脸图像后，，提供两种人脸区域的检测方法。然后在人脸区域中可自动标记眼睛、嘴巴、鼻子及边缘提取。 -Face location recognition Visual C++ of instances. Provides a friendly user interface. Input face image, two kinds of face region detection method. Then automatical
Haar
- 用python语言实现的基于Harr特征的人脸检测算法，可以用于人脸的检测，眼睛，鼻子等脸部五官的检测-Using python language based on the Harr feature-based face detection algorithm can be used for the detection of face, eyes, nose and other facial features detection