资源列表
用光流法进行运动目标检测
- 采用光流法形式检测背景相对稳定的运动物体，编写语言为C++，所有视觉库为opencv(The optical flow method is used to detect moving objects with relatively stable background. The language is C++, and all visual libraries are OPENCV)
HOGCompute
- 根据2005年Dalal提出HOG特征计算原理，自己编写了HOG特征提取算法，此特征可以用于目标检测中，包括行人检测，采用编程语言为C++，采用视觉库为opencv(According to the principle of HOG feature calculation proposed by Dalal in 2005, HOG feature extraction algorithm has been compiled. This feature can be used in object
test9.5
- 简单的人脸识别，使用opencv图像处理，PCA(sample face recognition)
test
- opencv帧差法源码，用帧差法处理，得到移动物体的二值化后的白色图像(Opencv frame difference method source code, using frame difference method, to get two white images of moving objects after the value)
K均值分类
- 基于VS2010平台和openCV开发的，实现遥感影像的k均值分类(K mean classification for remote sensing images)
cat-detection
- 基于opencv的猫脸检测，可以检测图片中的猫脸。基于python语言实现。(cat face detection based on OpenCV)
smile-detection
- 基于Python语言和OpenCV实现了笑脸检测，首先进行人脸检测，然后在人脸检测的基础上进行笑脸检测。(This code implement smile detection based on OpenCV and Python. Face detection is done firstly and then smile detection is done based on the output face of the face detection.)
code.tar
- 利用hog 特征提取 然后用SVM 分类识别(Hog feature extraction, and then using SVM classification recognition)
人眼识别
- 识别人眼球，并可以利用训练识别。编译环境opencv3.1(Know other people's eyes)
python
- gabor滤波器提取图像特征，使用了opencv库(Gabor filter to extract image features)
robomaster视觉程序
- robomaster对图像处理的代码，能够有效地实现攻击(Robomaster image processing code, can effectively achieve attacks)
MonocularCalibration
- 基于VC++环境，用OpenCV实时拍照并进行单目标定(Based on the VC++ environment, OpenCV is used to take photos in real time and monocular calibration)