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[Special Effects] C1C2 DL : 0: 本源码是利用视觉仿生学成果进行目标识别的最新成果。c1 c2特征是MIT的Poggio教授的研究小组根据人眼视觉仿生的研究成果提出的特征。运用该特征对自然图像中的目标识别取得了较好的效果。本压缩包为提取C1 C2特征的Matlab源码。C1 C2特征的详细说明参见IEEE PAMI 2007上的文献\"Robust Object Recognition with Cortex-Like Mechanisms\"。
Update : 2008-10-13 Size : 15.94kb Publisher : csb
[Special Effects] SWImage DL : 0: The Swendsen-Wang Cuts algorithm is used to label atomic regions (superpixels) based on their intensity patterns using generative models in a Bayesian framework. The prior is based on areas of connected components, which provides a clean segmentation result. A performance comparison of the Swendsen-Wang Cuts algorithm with the Gibbs sampler shows that our algorithm is 400 times faster. A. Barbu, S.C. Zhu. Generalizing Swendsen-Wang for Image Analysis. J. Comp. Graph. Stat. 16, No 4, 2007 (pdf) A. Barbu, S.C. Zhu. Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities, PAMI, 27, August 2005 (pdf) A. Barbu, S.C. Zhu. Graph Partition By Swendsen-Wang Cuts, ICCV 2003 (pdf)
Update : 2008-10-13 Size : 12.35mb Publisher : bevin
[Other] pami_00_review DL : 0: Statistical Pattern Recognition: A Review Anil K. Jain, Fellow, IEEE, Robert P.W. Duin, and Jianchang Mao, Senior Member, I
Update : 2025-02-19 Size : 1.3mb Publisher : qinhui
[Special Effects] C1C2 DL : 0: 本源码是利用视觉仿生学成果进行目标识别的最新成果。c1 c2特征是MIT的Poggio教授的研究小组根据人眼视觉仿生的研究成果提出的特征。运用该特征对自然图像中的目标识别取得了较好的效果。本压缩包为提取C1 C2特征的Matlab源码。C1 C2特征的详细说明参见IEEE PAMI 2007上的文献"Robust Object Recognition with Cortex-Like Mechanisms"。-The source is the use of visual object recognition bionics results of the latest achievements. c1 c2 characterized by MIT Professor of Poggio research team in accordance with human visual biomimetic study the characteristics of the results. Use of the characteristics of the natural image object recognition has achieved good results. The compressed packet to extract the characteristics of C1 C2 source Matlab. C1 C2 features a detailed description see the IEEE PAMI 2007 literature Robust Object Recognition with Cortex-Like Mechanisms .
Update : 2025-02-19 Size : 16kb Publisher : csb
[Special Effects] IDA DL : 0: 对两幅图像特征点对匹配算法的一个实现，采用了09年pami一文章的观点，算法名称IDA(Incremental Dissimilarity Approximations)-Feature points of two images of an implementation of matching algorithm used pami a 2009 article, views, the algorithm name of IDA (Incremental Dissimilarity Approximations)
Update : 2025-02-19 Size : 1kb Publisher : zhaoyuhang
[Special Effects] IDAc DL : 0: 对两幅图像特征点对匹配算法的一个实现，采用了09年pami一文章的观点，算法名称IDA(Incremental Dissimilarity Approximations)，C语言实现版本-Feature points of two images of an implementation of matching algorithm used pami a 2009 article, views, the algorithm name of IDA (Incremental Dissimilarity Approximations), C language version
Update : 2025-02-19 Size : 4kb Publisher : zhaoyuhang
[Windows Develop] RFica DL : 0: Update : 2025-02-19 Size : 1kb Publisher : loris nanni
[Special Effects] steerGaussmatlabcode DL : 0: 关于Steerable filtering decomposition 的matlab程序,- STEERGAUSS Implements a steerable Gaussian filter. This m-file can be used to evaluate the first directional derivative of an image, using the method outlined in: W. T. Freeman and E. H. Adelson, "The Design and Use of Steerable Filters", IEEE PAMI, 1991.
Update : 2025-02-19 Size : 379kb Publisher : 张宇
[Special Effects] DetectionandAnalysisofHair DL : 0: 头发分割，头发检测，头发分析，2006 pami的经典paper-hair segmentation， hair detection
Update : 2025-02-19 Size : 1.81mb Publisher : gp
[AI-NN-PR] steerfilter DL : 0: Design and Use of Steerable Filters PAMI1991文章的代码，含有测试图像和demo，可运行-It implements a steerable Gaussian filter. This m-file can be used to evaluate the first directional derivative of an image, using the method outlined in: W. T. Freeman and E. H. Adelson, "The Design and Use of Steerable Filters", IEEE PAMI, 1991.
Update : 2025-02-19 Size : 330kb Publisher : 李
[Speech/Voice recognition/combine] 2DPCA_Matlab_Codes_PAMI_2004 DL : 0: 这里面的代码是2DPCA的。这篇文章发表在PAMI上,Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition.google搜索已经引用681次。这里的代码是原作者的。这个分类不太好，语音识别是最近的，这是模式识别里的经典算法。-matlab code of 2DPCA
Update : 2025-02-19 Size : 2kb Publisher : Gu Zhenghong
[AI-NN-PR] sparse_representation DL : 0: 最热门的稀疏表示的算法，马毅等人在PAMI上发表的文章代码-Sparse representation of the most popular algorithms, Yi Ma, and others published an article in the PAMI code
Update : 2025-02-19 Size : 4kb Publisher : zhoujingbo
[Graph Recognize] plsa DL : 0: 给与plsa模型开发本源码是利用视觉仿生学成果进行目标识别的最新成果。c1 c2特征是MIT的Poggio教授的研究小组根据人眼视觉仿生的研究成果提出的特征。运用该特征对自然图像中的目标识别取得了较好的效果。本压缩包为提取C1 C2特征的Matlab源码。C1 C2特征的详细说明参见IEEE PAMI 2007上的文献 -This imports VIBES functionaility into Matlab and needs to be done once per session. Now type,
Update : 2025-02-19 Size : 5kb Publisher : king zhou
[Special Effects] WLDA_Robust_Local_Image_Descriptor DL : 0: PAMI 今年刚刚发表的一种最新的图像描绘方法的论文，考虑了人的视觉特性，具有很广阔的应用价值。-PAMI just released this year, a new method of images depicting the papers, taking into account human visual characteristics, have a very broad application.
Update : 2025-02-19 Size : 2.27mb Publisher : 苏航
[Other] Camera_Calib_Perfect_Documents DL : 0: 关于相机标定的经典论文，共6篇，包括了张正友和翁巨扬等人的PAMI论文-Classic papers on camera calibration, a total of six, including Zhang Zhengyou and Wengju Yang et al PAMI paper
Update : 2025-02-19 Size : 10.95mb Publisher : 杜永凯
[CSharp] cpuANDram DL : 0: Program sł uż y do sztucznego przecią zania procesora i zapeł niania pamię ci RAM.
Update : 2025-02-19 Size : 3.12mb Publisher : Kris18
[Graph Recognize] 2010PAMI DL : 0: Trans on PAMI上面的一篇关于三维人脸识别的文章。里面有笔者自己打的标记，希望同时研究的同学共勉一下。-Trans on PAMI above an article on the three-dimensional face recognition. I play inside their own mark, the students want to encourage each other about the same time study.
Update : 2025-02-19 Size : 2.16mb Publisher : jinyi
[Special Effects] ellipse-pami DL : 0: ellipse fitting 2 test
Update : 2025-02-19 Size : 97kb Publisher : JJOH
[Algorithm] GNMF DL : 0: 菜登和何晓飞, 2010的PAMI 基于图的非负矩阵分解的paper极其matlab代码。这篇文章在非负矩阵分解中巧妙地加入了流形约束，并推导出了相应的迭代公式。-He Xiaofei Teng and vegetables, 2010 PAMI graph-based non-negative matrix factorization of the paper is extremely matlab code. This article in the non-negative matrix factorization in the cleverly joined the manifold constraints, and derive the corresponding iterative formula.
Update : 2025-02-19 Size : 552kb Publisher : zihanhuang
[Special Effects] PAMI-background-literature DL : 0: PAMI在模式识别和图像处理领域最新的文章，主要是关于视频背景处理。-PAMI latest articles in the field of pattern recognition and image processing, mainly on the video background processing.
Update : 2025-02-19 Size : 15.71mb Publisher : fengfujian

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