资源列表
Optical-flow-tracking-video
- 用光流法实现对视频中物体的跟踪，需要用到opencv图像处理库，通过此代码，可以更好的理解光流法。-Realization of video object tracking optical flow method, the need to use opencv image processing library, through this code, we can better understand the optical flow.
Boundary-tracking-algorithm--mfile
- 用matlab编写的边界跟踪算法，用到了freeman链码和爬虫法，可以有效的跟踪单个物体边界，适合于初学者。- Prepared using matlab boundary tracking algorithm uses a freeman chain code and reptiles method can effectively track a single object border
Boundary-Extraction-Algorithm
- 刚接触数字图像处理，自己写的边界提取算法，适合于初学者。-New to digital image processing, to write their own boundary extraction algorithm, suitable for beginners.
Digital-recognition
- 数字识别，可以较好的识别数字，供c语言初学者参考学习。-Digital identification, you can better identify figures for C language beginners reference learning.
zhensuzheng
- 二维的EMD分解，恢复物体的三维面形，重构物体的三维图像，以及回复的误差图-Two dimensional EMD decomposition, to restore the three-dimensional shape of the object, the reconstruction of three-dimensional images of objects, as well as the recovery of the error map
image-rotate
- 使用matlab实现图像旋转（非matlab）自带函数-Realization of image rotation in matlab
4ysfcpp
- 四元数法点云配准 点坐标保存在excel中，用matlab读入-point cloud register
dxfReadWriteView
- 读取DXF文件和保存DXF文件,处理通用实体，并且加入了Polygon和Polyface的接口-his is not a complete DXF reader package, but it handles most entities that are commonly found. With this release I ve added the Polygon mesh and Polyface mesh varieties of POLYLINE, so a great
ReadObj
- 利用opengl技术读取人脸obj模型，并粘贴纹理，同时可以用鼠标进行旋转、拉近拉远操作-Read a read face obj model using the opengl technology, and paste texture, can use the mouse to rotate at the same time, closer to pull far
MyStdBF
- 在matlab环境下用C语言实现双边滤波器，并对图像进行双边滤波处理-In the matlab environment to achieve a bilateral filter with C language, images and bilateral filtering process
FractalNet
- 2016年6月刚刚出来的运用分形网络的深度神经网络的牛文，值得学习，欢迎大家交流。-June 2016 Niu just out of the fractal network of deep neural networks, it is worth learning, we welcome the exchange.
multi-resolution-
- 运用高斯马尔科夫随机场进行多分辨率重建的重要文献，方法介绍很详细，欢迎大家来学习。-Use of high 斯马尔科夫 random multi-resolution reconstruction of important documents, the method described in great detail, welcome everyone to learn.