Search - simple facial detection

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[Graph Recognize] detect DL : 0: 简单的人物脸部特征检测,采用OPENCV库-Simple characters facial features detection, the use of OPENCV library
Date : 2025-12-21 Size : 3kb User : pa
[Graph Recognize] pca DL : 0: 自动人脸识别系统具有如图所示的一半框架并完成相应功能的任务。（1）人脸图像的获取：一般来说，图像的获取都是通过摄像头摄取，氮摄取的图像可以是真人，也可以是人脸的图片或者为了相对简单，可以不考虑通过摄像头来摄取头像，而是直接给定要识别的图像。（2）人脸的检测：人脸检测的任务是判断静态图像中是否存在人脸。若存在人脸，给出其在图像中的坐标位置，人脸区域大小等信息。而人脸跟踪需要进一步输出所检测到的人脸位置，大小等状态随时间的连续变化情况。（3）特征提取通过人脸特征点的检测与标定可以确定人脸图像中显著特征点的位置（如眼睛，眉毛，鼻子，嘴巴等器官），同时还可以得到这些器官及其面部轮廓的形状信息的描述。-Automatic face recognition system has half of the framework as shown in the task and complete the corresponding function. (A) face image acquisition: In general, the image acquisition camera intake, nitrogen uptake of the image is real, is the picture of the face or to relatively simple, can not be considered through the camera head intake of the head, but given directly to the image you want to identify. (2) the detection of human faces: the face detection task is to determine whether there is a face in the static image. If there is a face, given the coordinates of the location in the image, the size of the face region. The face tracking needs further output the detected position of the face, size, state of continuous change over time. (3) feature extraction of facial feature points detection and image calibration can determine people face significant feature points (such as eyes, eyebrows, nose, mouth and other organs), but also can get the shape of these organs and their facial cont
Date : 2025-12-21 Size : 12kb User : 蔡周杰