资源列表
repairing-meshes
- 关于三角网格stl模型处理的一些算法，包括三维重建、网格处理、网格优化、孔洞修补等的详细代码-Some algorithms on triangular mesh stl model processing, including reconstruction, meshing, mesh optimization, repair holes and other details of the code
vcPPimage-processing-and-engineering
- vc++图像处理与工程实例，源码，值得下载-vc++ image processing and engineering examples, source codeis worth the download
CVIPtools-5.3g
- CVIP源代码，C#和组件编程，包括对数字图像处理的基本算法-CVIP source code, C#, and assembly programming, including the basic digital image processing algorithms
sift_match
- 从视频读取帧，提取Sift特征点，进行特征点的匹配，合成视频-read frame from a video,get the sift feature,and match,then make a new video
PR-GLS
- 图像配准算法，PR-GLS Non-Rigid Point Set Registration by Preserving Global and Local Structures-PR-GLS Non-Rigid Point Set Registration by Preserving Global and Local Structures
HDFReader
- 用vc＋＋6.0实现的读取modis hdf格式的源程序，包括多个全局变量、科学数据集等内容的读取。-using vc + +6.0 realized read modis hdf format of the source. includes a number of global variables, scientific data gathering to read the contents.
sparseMRI_v0.2
- Sparse MRI The application of compressed sensing for rapid MR imaging-Sparse MRI The application of compressed sensing for rapid MR imaging
激光打标机系统屏资料
- 激光器系统屏Laser system screen(Communication protocol Laser system screen)
video_stream_scaler_latest.tar
- 参数化的高清视频缩放源程序，配有文档说明。还有modelsim仿真源代码。-Parametric HD video scaling source, with documentation. There modelsim simulation source code.
opencv-video-controlbar
- 应用了opencv，打开指定的文件夹图形，图像格式不限，且大小可调-The application of opencv, open the folder specified graphics, image format open, and the size of adjustable
full-view-image-stitching
- 下载即可在VS2010+opencv2.4.4运行的将两张有重叠部分的图像(可能是不同时间、不同视角或者不同传感器获得的)拼成一幅大型的无缝高分辨率图像，得到全景图。-The 2 pieces of overlap image (which may be different time, different Angle of view or different sensors to obtain) Mosaic of a large seamless high-resolution images,
genzongsuanfa
- 边缘像素加权的跟踪算法，其适用于模板内目标具有比较明显的边缘特征，尤其适合于线状目标的跟踪。-Tracking algorithm weighted edge pixels, within its target template for the edge feature with a more obvious, especially for the linear target tracking.