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[Special Effects] match-v3.3.src DL : 0: 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 Kolmogorov and Ramin Zabih \"Computing Visual Correspondence with Occlusions using Graph Cuts\" In: International Conference on Computer Vision, July 2001. and Yuri Boykov, Olga Veksler and Ramin Zabih \"Markov Random Fields with Efficient Approximations\" In: IEEE Computer Vision and Pattern Recognition Conference, June 1998. -stereo algorith ms described in the following papers : Vladimir Kolmogorov and Ramin Zabih "Multi-Ca mera scene Reconstruction via Graph Cuts "In : European Conference on Computer Vision, May 2002. Vladimir Kolmogorov and Ramin Zabih " Correspondence with Visual Computing Occlusi ons using Graph Cuts "In : International Conference on Computer Vision, July 2001. and Yuri Boykov, Olga Veksler and Ramin Zabih "Markov Random Fie Efficient Bayesian lds with "In : IEEE Computer Vision and Pattern Recognition C onference, democratic governance.
Date : 2008-10-13 Size : 894.08kb User : Chen
[Special Effects] digit-exe-windows-4_1 DL : 0: This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scanner, digital camera or screenshot. The numbers can be read on the screen, and written or copied to a spreadsheet. -This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scan ner. digital camera or screenshot. The numbers can b e read on the screen. and written or copied to a spreadsheet.
Date : 2025-12-28 Size : 6.97mb User : liuyangustc
[Special Effects] match-v3.3.src DL : 0: 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 Kolmogorov and Ramin Zabih "Computing Visual Correspondence with Occlusions using Graph Cuts" In: International Conference on Computer Vision, July 2001. and Yuri Boykov, Olga Veksler and Ramin Zabih "Markov Random Fields with Efficient Approximations" In: IEEE Computer Vision and Pattern Recognition Conference, June 1998. -stereo algorith ms described in the following papers : Vladimir Kolmogorov and Ramin Zabih "Multi-Ca mera scene Reconstruction via Graph Cuts "In : European Conference on Computer Vision, May 2002. Vladimir Kolmogorov and Ramin Zabih " Correspondence with Visual Computing Occlusi ons using Graph Cuts "In : International Conference on Computer Vision, July 2001. and Yuri Boykov, Olga Veksler and Ramin Zabih "Markov Random Fie Efficient Bayesian lds with "In : IEEE Computer Vision and Pattern Recognition C onference, democratic governance.
Date : 2025-12-28 Size : 1.33mb User : Chen
[Special Effects] sift_experiment DL : 0: Matlab+C SIFT 特征提取与匹配演示程序 http://download.csdn.net/source/3472933 http://www.pudn.com/downloads372/sourcecode/graph/texture_mapping/detail1607889.html 使用 Matlab+C++混合编程的SIFT特征提取与匹配演示程序，很完整，是 Morton金字塔无缝漫游 GDAL SIFT 照片配准系统的底层算法，很适合研究改进。使用这个库的成套系统见 http://download.csdn.net/source/3028945 http://www.pudn.com/downloads325/sourcecode/graph/texture_mapping/detail1431649.html SIFT multi Octave 是纯 Matlab 的演示版，速度很慢，但是可读性好运行MakeSampleData.m启动测试程序, 双击生成的工作区(mat)，调用 ShowResult(Results) 显示结果。 SIFT_C redist 是Matlab + C 的混合程序，需要首先编译siftFeatureMaker工程，把 Dll 和 Exe 拷贝到 SIFT_C redist\CoreCode 里面，如果不是Matlab R2011a ，请重新编译Mex，运行 SIFT_C redist\CoreCode\compileMex.m 编译所有的C语言Mex文件运行MakeSampleData.m启动测试程序, 双击生成的工作区(mat)，调用 ShowResult(Results) 显示结果。请在安装了Visual Studio 2008 最小运行时的机器上运行这个程序。 -Written using Matlab+ C SIFT feature extraction and matching algorithms, the pyramid is the Morton photo with seamless roaming GDAL SIFT Barebone underlying algorithms. http://download.csdn.net/source/3028945
Date : 2025-12-28 Size : 7.11mb User : 流浪小狗
[Special Effects] gbvs DL : 0: 静态图像显著性分析程序，利用matlab开发。加州理工三位教授所写。-Software] Saliency Map Algorithm : MATLAB Source Code Below is MATLAB code which computes a salience/saliency map for an image or image sequence/video (either Graph-Based Visual Saliency (GBVS) or the standard Itti, Koch, Niebur PAMI 1998 saliency map). See the included readme file for details. I also have a newer, simpler version implementing only the Itti algorithm (see simpsal/readme.txt). Please try it out and email me if you have any questions. Download: Please select one of the following to download: [gbvs.zip] This package includes an implementation of the full GBVS algorithm. It also lets you compute an Itti, Koch, Niebur saliency map. It includes a function for computing the ROC score between eye-movements (provided as x,y fixation points) and a saliency map, and a function for displaying a saliency map overlayed on top of an image (as in the screenshot below). Right after you download the zip file, you must change into the gbvs/ directory and run: >>
Date : 2025-12-28 Size : 8.3mb User : Johnny
[Special Effects] A-Model-of-saliency DL : 0: 本文是基于生物视觉注意模型的算法介绍，基于显著图理论-This article is based on biological visual attention model algorithm introduced, based on graph theory significantly
Date : 2025-12-28 Size : 1.77mb User : 123
[Special Effects] gbvs_Itti-saliency DL : 0: Graph-Based Visual Saliency
Date : 2025-12-28 Size : 1.08mb User : Analulu
[Special Effects] gbvs DL : 0: 可用于计算输入图像或图像序列的基于全局的视觉显著图，或计算标准的Itti显著图。-This can ompute a "Graph-Based Visual Saliency" map for an image or image sequence or compute the standard Itti saliency map.
Date : 2025-12-28 Size : 1.13mb User : 吕想
[Special Effects] MINE DL : 0: 计算机图形学的大作业，使用MFC实现，编译环境为Visual Studio 2012，图形均为MFC所绘制的，没有使用图片，可自定义扫雷难度。Release文件夹中有可直接运行的程序。-Homework of Computer graphics, which uses MFC to implement. The compiler environment is Visual Studio 2012. The graph are drawn by MFC, without the use of images. And the difficulty can be user-defined. A program that can be directly operated is in the Release folder.
Date : 2025-12-28 Size : 3.39mb User : yuuuuuu
[Special Effects] SDgraph DL : 0: 06年Nips上经典的基于图模型的视觉显著性检测matlab版本源码-Graph-based model for visual saliceny detection
Date : 2025-12-28 Size : 8.55mb User : allen
[Special Effects] gbvs DL : 0: Gbvs图像的显著度检测算法，用Matlab编程的，非常实用的算法适合图像处理入门学习-graph-based visual saliency
Date : 2025-12-28 Size : 10.03mb User : zhengbo
[Special Effects] sigsaliency DL : 0: 显著度的检测，包括图像的平滑操作，图像分割重组等检测操作-graph-based visual saliency
Date : 2025-12-28 Size : 12.42mb User : zhengbo
[Special Effects] GBVS DL : 0: 基于视觉图论的运动目标检测识别，可以通过提取运动目标特征来检测运动目标-Visual graph theory based moving target detection and recognition, you can extract the moving target signatures to detect moving targets
Date : 2025-12-28 Size : 27.26mb User : 戴为龙
[Special Effects] the shortest path program in graph theory DL : 0: 图论算法在计算机科学中扮演着很重要的角色，它提供了对很多问题都有效的一种简单而系统的建模方式。很多问题都可以转化为图论问题，然后用图论的基本算法加以解决。遗传算法是解优化问题的有效算法，而并行遗传算法是遗传算法研究中的一个重要方向，受到了研究人员的高度重视。(Graph theory plays an important role in computer science. It provides a simple and systematic modeling method for many problems. Many problems can be translated into graph theory problems, and then solved by the basic algorithm of graph theory. Genetic algorithm is an efficient algorithm for solving optimization problems, and parallel genetic algorithm is an important direction of genetic algorithm research, and has attracted much attention of researchers.)
Date : 2025-12-28 Size : 27kb User : 四姑娘