资源列表
Circle
- 利用逐点比较法和Bresenham中点比较法画圆-Use-by-point comparison method and comparative law Bresenham midpoint Circle
CT_code_v0_hist
- 改进的压缩感知的红外小目标跟踪。将原始特征由haar特征替为直方图。初始时用tophat增强小目标。-Dim IR target tracking via improved compressive sensing. The original haar featrue of CT method is replaced by histogram,and the target enhanced by tophat.
Image-classification-based-on-BOVW
- 针对视觉字典的最佳表示方式、图像分类任务中亟需计算效率高、存储代价小、分类准确度高的算法等难题，提出了几种创新的算法。-Aiming at the problem of the best representation of visual dictionary and the need of high efficiency, low memory cost and high classification accuracy in image classification task, several
lsb-MATLAB
- 本论文包含5个源程序，分别为LSBCut、LSBCollage、DCTCut、DCTCollage和PSNR，其中LSBCut实现了LSB水印算法的剪切篡改的检测、LSBCollage实现了LSB水印算法的拼贴篡改的检测、DCTCut实现了DCT水印算法的剪切篡改的检测、DCTCollage实现了DCT水印算法的拼贴篡改的检测、PSNR功能是计算嵌入水印嵌入的峰值信噪比，以此来说明嵌入水印后图像载体的失真大小。LSBCut、LSBCollage、DCTCut、DCTCollage是独立的程序，每
fmtomov1.0.tar
- 基于fortrande强大的地震三维层析成像软件包-Based on the powerful three-dimensional seismic tomography package fortrande
5points
- 通过两幅图像间5个已标定的对应点，求出R t矩阵的可能值-An Effi cient Solution to the Five-Point Relative Pose Problem fi nd the possible solutions for relative camera pose between two calibrated views given fi ve corresponding points
AutoCAD ObjectARX（VC）开发基础与实例教程
- 此书是利用ObjectARX对AutoCAD二次开发的教程，张帆丛书配套教程。(This book is a tutorial on the secondary development of AutoCAD using ObjectARX.)
Windowscode
- 图象处理经常用到的代码,经过调试运行,可以用
VideoFrame
- 一个打开图像和视频，然后对图像和视频进行后续处理的界面框架-An open image and video, and then follow the image and video processing interface framework
FSBMA
- Opencv FSBMA motion estimation 實作-Implement full-search block-matching algorithm (FSBMA) to estimation the motion vectors of each frame in a video sequence. 2. Use the simulated shaken video to test the FSBMA motion estimation. 3. Display the
sdadssad
- 强大的图像模式识别程序，在车辆测距中有很大作用，综合包括了聚类和分类程序-Powerful image pattern recognition program, plays a significant role in the vehicle ranging, including a comprehensive clustering and classification procedures
ObjectDiscovery-0.1
- code for Unsupervised Joint Object Discovery and Segmentation in Internet Images