资源列表
opencv_code
- 基于opencv的去噪算法比较以及霍夫变换，另外有3篇有关去噪以及图像识别类的相关文献-Compare opencv based de-noising algorithm and Hough transform, and a further three relevant literature on denoising and image recognition class
juanjishenjingyuanjingdianlicheng
- 卷积神经元的经典历程，它其中包括了卷积神经元的运行数据库以及运行的代码，里面带有讲解，对初学者很有帮助。-The classic course of the convolution of neurons, which includes the operation of the and the operation of a convolution of the code, which carries on to explain, very helpful for beginners.
hpcv-water-29-oct-2010
- OSG实例，shader编程，实现简单的小溪河流定向移动-OSG , shader programming, achieve a simple directional movement of rivers
CNN-
- CNN卷积神经网络数字识别MATLAB代码-CNN convolutional neural network digital identification MATLAB code
FPGA-H265-Encoder
- H.265的FPGA实现！！使用Verilog语言开发。-H.265 FPGA implementation! Developed using Verilog language.
OpenCV示例源码
- 关于OpenCV的好处之一就是它提供了许多内置的用于图像处理和计算机视觉相关操作的基础元素。如果你需要通过scratch写入某些内容，你将不得不定义一些东西，比如图像、点、角度等等，这些几乎是任何计算机视觉算法的基础。OpenCV提供了这些开箱即用的基础数据结构，它们都包含在core模块中。另外一个好处是，这些数据结构都已经针对速度和内存做了优化，因此，你不用担心实现细节。(One of the benefits of OpenCV is that it provides a number of
11_人脸检测与识别系统
- 1.本程序主要处理BMP位图。 2.为了方便读者学习，程序各步骤都被拆分开实现了，通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别，需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作，然后再打开需要比较的第二幅位图，也是依次进行所有操作，最后进行识别以区分先后两个人脸。(This procedure deals mainly with BMP Bitmaps. 2. In order for the reader to learn, each ste
test_example_CNN
- 整理的卷积神经网络的相关的程序，分享给大家共同学习一下。-Related programs finishing convolution neural network, to share what we learn together
OpenCV
- 关于OpenCV比较完整的说明文档。它共收录了两本最为权威书籍的内容。-About OpenCV more complete documentation. It contains a total of two of the most authoritative book content.
OpenCV
- OpenCV 2.4.6最新版本的Reference Manual，User Guide，Tutorials。很好很强大的opencv学习资料-OpenCV 2.4.6 the latest version of Reference Manual, User Guide, Tutorials. A very powerful learning opencv information
Nehe-OpenGL
- Nehe编写的opengl电子教程 以及源代码，glut库，方便学习，参考-Written in opengl Nehe electronic tutorials and source code, glut library to facilitate learning, reference
Simple2DMapEditor
- 2D地图编辑器 采用MFC架构即单例的设计模式-2D地图编辑器 MFC架构