资源列表
Face_Recognition
- 一个人脸识别系统，能讲图像中的人脸区域选择出来并分割保存成单独的文件。-A face recognition system, able to speak face region in the image selected and divided into separate save file.
Looking-for-a-known-object
- 寻找已知物体，根据已知物体图片对比摄像机拍摄图片，找出物体-Looking for a known object
Description-and-extract-key-points
- 关键点描述和提取：SIFT配合暴力匹配进行关键点的描述和提取。-Descr iption and extract key points: SIFT violence with matching descr iption and extract key points.
Gesture_Recognition
- 基于opencv的单摄像头手势识别。 需要把手放置于特定位置进行取色。-Opencv gesture recognition based on a single camera. Need to handle is placed in a specific location to take color
Gesture_Recognition
- 基于opencv的手势识别。需要mfc。优势是能识别出脸部的位置。-Based on opencv gesture recognition. Need mfc. Advantage is able to identify the position of the face.
fback.py
- Python OpenCV program: Optical flow example using farnback algorithm.
ORB
- 使用orb二值特征描述子进行图像的特征匹配。- Use orb matching binary feature descr iptor for image features.
drawing
- opencv def random_color(random): Return a random color icolor = random.randint(0, 0xFFFFFF) return cv.Scalar(icolor & 0xff, (icolor >> 8) & 0xff, (icolor >> 16) & 0xff) if __name__ == __main__ : # some consta
trackParticleFilter
- 在vs210，opencv环境下，编写的关于粒子滤波进行目标跟踪的程序，对于初学粒子滤波的入门者较好的辅助性-In vs210, opencv environment, write about particle filter for target tracking applications, for beginners grasp good auxiliary particle filter
kalman
- 使用kalman滤波进行目标跟踪，kalman可以通过观测到的结果进行更新从而估计下一时刻的目标状态-Using kalman filter for target tracking, kalman can be updated by the observed results to estimate the target state of the next moment
USB-camera-display
- USB摄像头显示，提供电脑用USB摄像头显示画面- USB camera display
opencvQt.tar
- Qt图像处理，实现一些图像处理基本功能，包括灰度图像转换，大律法二值化，添加水印等操作。后边会陆续增加功能。使用极度类似opencv- Qt image processing, to achieve some of the basic image processing functions, including grayscale image conversion, the law of the two values, add the watermark and other operat