资源列表
stopmojo_src_0_2
- StopMojo: Stop motion animation suite - a cross-platform suite of applications comprised of modules designed to facilitate creation of stop-motion animations including image capture and lip sync.-StopMojo : Stop motion animation suite-a cross-platfor
yasuo
- 基于变换的地震数据压缩技术（文献核心期刊）-Seismic data compression based on transform technology (core journal literature)
kriging_Simple
- 克里金插值简化版程序，如果需要结果能OpenGL渲染的版本，请@我，或在我最近上次的代码总查找。VS2012编译通过，已修复BUG，可以直接运行。花费大量时间整理，希望能帮到你。-kriging terrain interpolation program.
shiyan7.6
- 自己做的一个物理实验小程序，模拟点电荷电力线的试验-doing a physics experiment of small programs, simulated point charge of the power line test
CS_MRI
- 一些经典的灰度图像和一个核磁共振的图像处理，和核磁共振的图像-Some gray image of classic and a magnetic resonance image processing, image and nuclear magnetic resonance
ZoomPerspectivetransformation
- OpenGL实现模型缩放功能,视景体移动，包含源代码及演示-OpenGL model zoom function, visual-Mobile, including source code and demo
suijituoyuanjiancesuanfa
- 介绍了一种椭圆检测的方法，该方法，基于霍夫变换，并根据椭圆几何特征可以快速准确的提取出椭圆中心。本论文为收费文献，现共享，希望对研究计算机视觉以及近景摄影测量的朋友，有所帮助。-Introduce a kind of ellipse detection method, based on the Hough transform, and in accordance with the characteristics of elliptical geometry can be extracted qu
creat24bitbitmap
- 我们大多数时候都是读取别人的位图文件，而有时候我们需要创建自己的位图文件，如何设定位图的文件头和信息头以及windows位图的相关参数，最终创建一个24位的位图-most of the time we are reading other people's bitmap documents, Sometimes, we need to create your own bitmap documents, How to set the bitmap file header and window
OpenGL_with_Delphi_tutorials
- OpenGL with Delphi教程:英文版，共124页，对OpenGL—Delphi开发者有很好的参考价值-OpenGL with Delphi tutorial: English, 124 pages, on the OpenGL-Delphi developers have a good reference value
OpenGL_with_Delphi
- Using Open GL in delphi
dsfsdfs
- 基于JPG标准的图像压缩毕业论文基于JPG标准的图像压缩基于JPG标准的图像压缩-adsdfasfasfsd
target-tracking-using-kalman
- 2D Target tracking using Kalman filter The first just does detection by background subtraction. This can be considered as the ground truth. The second feeds the detection output into a Kalman filter. The predicted position from the kalman filter