搜索资源列表
gaohuantan_android
- 高焕堂讲义，是一个非常好的android平台下开发和学习的材料-GAO Huan-tang notes, is a very good platform android development and learning materials
vc_practice_and_improveGao_Shou-Chuan-eds
- visual c++实践与提高——数字图像处理与工程应用篇 高守传等编著-visual c++ practice and improve- digital image processing and engineering application of articles Gao Shou-Chuan-eds
OpenGL-and-3DS
- 基于OpenGL 的3DS 模型的导入与控制。研究了在VC++6.0 环境下利用OpenGL 导入3DS 模型的两种方法，并给出了具体实现 过程和技术要点，两种导入方法比较结果说明：读入3DS 文件类的方法优于文件转换法，导 入的模型图的失真度很小，并可方便实现平移、旋转、缩放、拾取等人机交互控制. 关键词：OpenGL；3DS 模型；人机交互-Import and Control of 3DS Models Based on OpenGL GAO Hai-fang1,
VCPP_book
- VC++数字图像处理与工程应用篇.pdf，高守传，全本扫描-VC++ digital image processing and engineering articles. Pdf, Gao Chuan, all the scan
image_merge_test
- starfm算法实现例子。参照Gao.F老师的论文。目前也有改进算法出现了。-an example of starfm
gao
- 用matlab设计的GUI界面，功能是各类图片处理，还有正弦余弦脉冲曲线的绘制-Matlab GUI interface, the function is all kinds of image processing, sine cosine pulse Curve
090406
- 基于自适应混合髙斯模型的时空背景建模 论文-Gao hybrid model based on adaptive space-time background modeling Adams Papers
gao-fenbianlv
- 一个基于图像的高分辨实现的maltab源代码实现，采用了双线性插值方法。-An image-based high-resolution achieved maltab source code, using a bilinear interpolation method.
2Multi-sensor-image-fusion
- 基于Contourlet变换的多传感器图像融合_高斌-Multi-sensor image fusion based on Contourlet transform 2 _ gao
PHPgetpicHandH
- PHP插件获取图片宽高插件,可以获取网站上的图片的宽度和高度，用于火车头采集。-PHP chajian huoqu tupian kuang gao chajian
gao
- 混合高斯模型的图像处理C++程序需要加载opencv头文件-Gaussian mixture model of c++ image processing program needs to be loaded opencv header files
bzgc
- 可以通过在cad中点取来标注高程，加快画图速度-CAD Gao Cheng biao zhu
dehazing-executable-file
- 去雾matlab代码 Gao Y, Hu H M, Wang S, et al. A fast image dehazing algorithm based on negative correction[J]. Signal Processing, 2014, 103(10):380-398. 论文配套matlab 代码 code-matlab code for Gao Y, Hu H M, Wang S, et al. A fast image dehazing algorithm bas
rgbd-slam-of-gao
- 高博士的rgbd-slam，深入浅出，非常适合初学者-the code of rgbd-slam of doctor gao. it s understandable and good to learn for the slam beginners.
slambook
- 《视觉SLAM十四讲》高翔，完整版，前10章。对视觉定位，机器学习，深度学习有很大帮助(Gao Xiang, the complete version of vision slam 14 lectures, is very helpful for vision positioning, machine learning and deep learning)