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comvision
- 是一个立体计算机视觉方面的匹配代码，可以实现m矩阵的计算，对三维重建还有帮助，精度不错的哦-is a three-dimensional computer vision of matching code, can achieve m matrix calculation, Three-dimensional reconstruction of help there, oh, good accuracy
ComputerVision1
- 北京大学信息科学技术学院张超老师的计算机视觉课件-Beijing University College of Information Science and Technology Zhang Chao teacher Computer Vision Software
SFM
- 计算机视觉中，structure from motion的代码-computer vision, structure from motion code
12254656
- 图像分割是图像处理与计算机视觉领域低层次视觉中最为基础和重要的领域之一，它是对图像进行视觉分析和模式识别的基本前提．阈值法是一种传统的图像分割方法，因其实现简单、计算量小、性能较稳定而成为图像分割中最基本和应用最广泛的分割技术．-image segmentation is image processing and computer vision field of low-level visual basic and the most important one of the fields, It
imagelab1
- 成像系统的计算机模拟，将摄像机坐标系内的立方体投影到二维平面上，计算机视觉的一个实验作业。-imaging system computer simulation, camera coordinate system within the cube of 2D projection, Computer vision of a laboratory experiment.
imagelab2
- 2D图像生成，具体生成了一个矩形和一个圆形，两者相交，不直接调用画线函数，而是用Besenham算法另编写画直线和圆的函数，计算机视觉的一个实验作业。-2D image generation, the generation of a specific rectangle and a circle, the two intersect, not directly call line drawing functions, Rather Besenham algorithm to prepare an
imagelab3
- 像点属性划分，具体画出了一个矩形和一个圆，两者相交，通过鼠标点击判断当前点属于矩形还是圆，用Besenham算法画直线和圆，计算机视觉的一个实验作业。-pixel attribute division, a painted concrete rectangle and a circle, the two intersect. Click on the mouse through judging the present point is rectangular or circular, paint
visionex2
- 计算机视觉实验，用鼠标生成相交的矩形和圆，或自由设定位置并生成。-computer vision experiments with the mouse interface between the formation of rectangular and circular, or free to set up location and generating.
match-v3.3.src
- This software implements stereo algorithms described in the following papers: Vladimir Kolmogorov and Ramin Zabih \"Multi-Camera scene Reconstruction via Graph Cuts\" In: European Conference on Computer Vision, May 2002. Vladimir
计算机视觉计算理论与算法基础
- 计算机视觉计算理论与算法基础-computer vision algorithms and the theoretical calculation based
MathematicalProblemsInImageProcessing
- 《图像处理中的数学问题（英文版）》 Mathematical Problems in Image Processing 偏微分方程和变分法用于图像处理始于15年前，从此人们一直在研究相关理论。本书向读者介绍了图像应用及相关的数学知识，本书自成一体，主要面向两类读者，一类是数学专业人士，从中他们可以了解数学对于图像处理领域的贡献，从而更致力于研究一些尚未解决的问题；另一类是计算机视觉领域人士，从中可以学到与图像处理有关数学理论。 目次：导论；数学基础理论；图像恢复；分段问题；应
Tsai3D_with_demo
- 这是著名的Tsai摄像机内外参数标定的源码，可以应用在计算机视觉计算中。-This is the famous Tsai camera calibration parameters of the internal and external source, for use in computer vision calculation.
sltoolbox_r101
- sltoolbox (Statistical Learning Toolbox) organizes a comprehensive set of matlab codes in statistical learning, pattern recognition and computer vision. It includes 256 m-files in 24 categories, which are from low-level computational routines to high
A_Homogeneous_Transform_Class_for_the_ITK.4
- Homogeneous transformations are widely used in computer vision and graphics. They commonly arise when considering the transformation of an image of a planar object under arbitrary camera motion, or the transformation of two images of the same scene d
eightpts_optiflow
- there are two parts in these codes. the first implements an eight point algorithm which is used to compute the fundamental matrix in computer vision. the second is used to compute the optical flow and the unreliable region.
gabormask
- Gabor-function convolution masks are increasingly used in image processing and computer vision. This function simply computes the cosine and sine masks for a given width, period and orientation. The masks returned are properly normalised. It is
Feature Extraction and Gabor Filtering_C+Matlab.ra
- Garbor filter is famous for its approximation to the characteristic of Cortex in human vision system. The state-of-the-arts advancement in computer vision application demonstrates the success and promissing of this technique. This directory co
heiv_src
- C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-var
facetect_matlab
- Face-Detector, OpenCV Haar cascade object detection. Matlab interface for running haar-cascade object detectors from the Intel Open Computer Vision Library.
proj2
- java下实现computer vision功能