PhotoPicker 照片选择器,相机拍照选取图片

Camera Color Correction Toolbox 通过最小化非线性损失函数，可以轻松计算相机响应和目标之间的最佳色彩校正矩阵。 该工具箱可以与图像信号处理管道中的其他模块无缝协作，如空间非均匀性校正、白平衡等。 支持以下颜色校正模型： * 线性变换* 多项式回归* 根多项式回归 请参阅此 .gif 以获取粗略印象： https://raw.githubusercontent.com/QiuJueqin/color-correction-toolbox/master/demo/screenshot.gif

1) Basic concepts of Auto Focus Algorithm 1.1) AF Detection methods There are two focus detection (AF) methods. 1) Distance detection method. 2) Contrast detection method. 1.1.1) Distance detection method The distance detection method is that the camera use AF module for detecting distance for main objects. If the camera is used this AF method, it will not need to use CCD to detect object’s contrast. There are three types of AF modules. 1. Active AF module 2. Passive AF module 3. TTL AF module 1.1.1.1) Active AF module Active AF systems measure distance to the subject independently of the optical system, and subsequently adjust the optical system for correct focus. There are various ways to measure distance, including ultrasonic sound waves and infrared light. In the first case, sound waves are emitted from the camera, and by measuring the delay in their reflection, distance to the subject is calculated. Polaroid cameras were known for successfully applying this system. In the latter case, infrared light is usually used to triangulate the distance to the subject. An exception to the two-step approach is the mechanical autofocus provided in some enlargers, which adjust the lens directly. 1.1.1.2) Passive AF module Passive AF systems determine correct focus by performing passive analysis of the image that is entering the optical system. They generally do not direct any energy, such as ultrasonic sound or infrared light waves, toward the subject. (However, an autofocus assist beam of usually infrared light is required when there is not enough light to take passive measurements.) Passive autofocusing can be achieved by phase detection or contrast measurement.

Xamarin Froms 调用相机拍照和图库选择图片，自己已经打开运行过，没有问题，大家安心下载。

张正友相机标定Opencv实现，附棋盘图和31张不同角度标定图。 包含完整的工程代码，有详细的注释说明，一键运行。实现了相机标定、输出相机内参、外参、旋转和平移矩阵、标定效果评价、以及使用标定结果对原始棋盘图进行矫正。

结构光相机标定代码，亲自修改并测试验证带完有效完整性。利用C++和opencv书写，并附有标定样本图，适用于结构光测量。代码简单易懂。

基于ZigBee自组网技术的红外相机系统在野外动物调查研究中的应用

包括了C#环境中的实例代码，其中含有各种相机模式的使用，触发，单帧，连续，多相机等都有具体的代码和注释说明（但都是英文的），对于新手是个很好的参考，Basler相机是工业上应用的比较广泛的一款相机，希望能对学习图形图像的朋友有所帮助。

相机标定程序， 包含测试图片。python 这里不够字数。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。

基于 curl 库实现与 rtsp server 建立语音对讲会话，需要安装 libcurl 。编译命令是 gcc main.c -o main `pkg-config --cflags --libs libcurl`