资源列表
ogl_basic_collision
- The source code upon which this tutorial is based, is from an older contest entry of mine (at OGLchallenge.dhs.org). The theme was Collision Crazy and my entry (which by the way took the 1st place :)) was called Magic Room. It features collision dete
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- 一个画板,模仿window自代的程序，是一个学习的好工具-a slate to imitate the window from the generation process is a good learning tool
oterdiedai
- 用于分形图象，此原程序是将四边形分形，最后变成三角形-for fractal image, the original procedure was Quadrilateral fractal, into triangular final
zhongdianhuaxian
- 中点划线 中点划线 -crossed the midpoint midpoint crossed crossed t he midpoint midpoint midpoint crossed crossed the midpoint line
texturedxl
- 图像检索。通过计算所要检索的图像与图像库中的距离dis，dis最小者与检索图像同类。-image retrieval. Calculated to be indexed images and pictures of the dis the distance, the smallest dis with similar image retrieval.
sevenstar
- 基于OPENGL的开星源程序，可以转动，彩色星空-based on the OpenGL open-source, rotation, color STAR
zhixiansangesyanfa
- Bresenham算法是计算机图形学领域使用最广泛的直线扫描转换算法。仍然假定直线斜率在0~1之间，该方法类似于中点法，由一个误差项符号决定下一个象素点。 -Bresenham algorithm is the field of computer graphics the most widely used linear scan conversion algorithm. Still assuming that the linear slope of between 0 ~ 1, the
yuandaima1
- 在vc环境下对一副256色bmp图像进行取指数的操作-vc environment in a pair of 256-color bmp images from the index operation
bianyuanjiancetuxiangzengqiang
- 在vc环境下可实现边缘检测和图像增强的源代码-in vc environment can be realized edge detection and image enhancement source code
edgeextraction
- 自写的一种有效的边缘提取算法，在matlab环境下，和其它算法比较，效率明显！并且附有示例图片-since writing an effective edge detection algorithm in Matlab environment, and other algorithms, efficiency significantly. And pictures with examples
convertDCT
- C语言编写的DCT变换程序，适用于图形图像处理等方面，使用时根据实际情况稍作调整就可以了-C language prepared by the DCT procedures applicable to graphic image processing, when used according to the actual situation could be some adjustment of
VideoObjectSegmentation
- 时空联合的视频对象分割，时域采用多帧帧差，形态学处理和高斯聚类，空域采用小波变换和分水岭变换。时域分割的模板与空域分水岭变换的结果融合得到最终的分割结果。-joint space-time video segmentation, multi-domain when displayed poor handling and morphology Gaussian clustering, airspace wavelet transform and watershed transformation.