资源列表
fangshebianhuan
- 仿射变换来实现旋转 (线性变换)，平移 (向量加)，缩放操作 (线性变换)(Affine transformations are implemented by rotation (linear transformation), translation (vector addition), scaling operation (linear transformation))
labyrinth
- 浙江大学图形学作业，利用Opengl编写迷宫并且实现3D漫游-Draw maze runner with Opengl implemented by C++
CNNdigitrecognize
- CNN卷积神经网络数字识别代码，运行后有很友好的识别界面-CNN convolution neural network digital identification code, after running very friendly recognition interface
gabor-pca
- 用gabor结合pca降维实现人脸识别，能得到较好的识别率(face recognition through gabor-pca)
25
- 本程序实现了fisher,pca,贝叶斯实现人的脸布表情的识别，具有很精确的分辨率，运行速度很快，能有效地分辨出各种表情-This application implements fisher, pca, bayesian realize people face cloth expressions of the recognition, has the very accurate resolution, run very fast, can effectively distinguish all
classical-papers
- 这是几篇关于图像特构建的几篇经典文章，还有乔布斯传英文版！-These are some classical papers on the topic of image feather extraction,and the biography of Jobs
[openGL-and-code
- OpenGL（全写Open Graphics Library）是个定义了一个跨编程语言、跨平台的编程接口的规格，它用于三维图象（二维的亦可）。OpenGL是个专业的图形程序接口，是一个功能强大，调用方便的底层图形库-Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations
OpenGl_Book
- OpenGl超级宝典 学习不可缺少的资料 内容翔实-OpenGl Super Collection of information essential to learn informative
diseases-and-recognition
- 用图像处理、植物病理学、色度学、几何特征、距离特征等方面的知识,研究了作物病害受害程度的检测,以生产中常见的玉米小斑病、水稻纹枯病、水稻稻瘟病为研究对象,经过图像预处理后提取作物的颜色特征、几何特征、距离特征,建立了作物危害程度检测模型-With knowledge of image processing, plant pathology, colorimetry, geometry, distance characteristics and other aspects of the study
birds-eye
- 鸟瞰图变换实例，通过读取摄像机内外参数矩阵和放仿射变换的到的单应性矩阵，获得平面视图的“俯视图”。-Aerial view transform instance, affine transformation to homography by reading the internal and external camera parameters matrix and put, get a plan view of the " plan view."
environment
- 利用OpenGL库实现环境纹理映射到正方体表面 显示效果为旋转的正方体表面映射了外界环境-Environment using OpenGL library implementation cube surface texture mapping to display the surface of a rotating cube mapped external environment
FMAR
- 基于融合先验图像的CT图像金属伪影消除。对于学习CT金属伪影的同学有帮助。运行程序只需运行main.m即可。函数功能在FMAR.m中实现-metal artifact reduction in CT