资源列表
计算机图形学C语言版第2版
- C++编程提高你的图形界面编程能力。是学习图形学的最佳素材(geometry program helps you improve you program in c++, the best book in the field)
FaceRecV1.0.tar
- 6410的人脸识别程序，亲测，有opencv库和移植好的QT，不可多得的代码！-6410 face recognition program, the pro-test, opencv library and transplantation good QT interval, rare code!
Depth-From-Focus-master
- 多张不同图片聚焦成一张高清图 实现图像的全聚焦 在MATLAB中实现-Multiple different pictures focused into a Zhang Gaoqing diagram of image to achieve full focus in MATLAB
segmentation-using-mean-shift
- 基于mean—shift的彩色图像分割,包含了采用mean shift进行彩色图像分割的源代码和2篇相关的论文。-Mean-shift based color image segmentation, including the use of mean shift to color image segmentation of the source code and two related papers.
FaceDetection
- 该程序是在C++平台上运行可编译通过的源代码，该程序可以实现图片上的人脸检测，是笔者通过自学编程实现的，效果还不错，为准备开始学习opencv的小同学们提供参考-The program is running on a platform in C++ can compile the source code, the program can detect the human face on the picture, is the author of programming through self-
MoleculeViewer
- 可以显示3D分子图形，并且可以按照元素周期表调整颜色-This another old project of mine that demonstrates basic OpenGL, it also makes use of WTL and the Boost Graph Library.
DigitalImageProcessingaMachineVision
- 《数字图像处理与机器视觉》配套的matlab版源代码-The Matlab version of code of the book Digital Image Processing and Machine Vision
MineSweeper3D
- 花园场景，天空、大地、植物(茎、花、叶) 地形高度可编辑 植物数量、位置、颜色、自旋可编辑 面向对象封装完善，代码易于移植-Garden scene including sky, earth and plants (stems, flowers and leaves). Terrain height is editable. Number, position, color and spin of plants are editable. Object-oriented,
Classify
- 可用于识别手写数字，并有多种算法进行比较其识别正确率-Can be used for recognition of handwritten digits, and a variety of algorithms to compare the recognition accuracy
SRGAN-master
- 这是一个基于深度学习的超分辨率图像复原技术的例子(This is a deep learning based super-resolution image restoration technology for example)
SRGAN-master
- 生成对抗网络（SRGAN）的源码，相关文章建议百度ＳＲＧＡＮ(Source code for generating antagonism network (SRGAN))
Digital Image Processing
- 1.RAW格式转换为BMP格式 2.灰度线性拉伸 3.局部处理 4.几何处理 5.二值化 6.模板匹配 7.影像融合(1.RAW format converted to BMP format 2. grayscale linear stretch 3. local processing 4. geometric processing 5. binaryzation 6. template matching 7. image fusion)