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[Special EffectsC1C2

Description: 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\"。
Platform: | Size: 16318 | Author: csb | Hits:

[Special EffectsSWImage

Description: 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)
Platform: | Size: 12946406 | Author: bevin | Hits:

[Otherpami_00_review

Description: Statistical Pattern Recognition: A Review Anil K. Jain, Fellow, IEEE, Robert P.W. Duin, and Jianchang Mao, Senior Member, I
Platform: | Size: 1364992 | Author: qinhui | Hits:

[Special EffectsC1C2

Description: 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 .
Platform: | Size: 16384 | Author: csb | Hits:

[Special EffectsIDA

Description: 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)
Platform: | Size: 1024 | Author: zhaoyuhang | Hits:

[Special EffectsIDAc

Description: 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
Platform: | Size: 4096 | Author: zhaoyuhang | Hits:

[Windows DevelopRFica

Description:
Platform: | Size: 1024 | Author: loris nanni | Hits:

[Special EffectssteerGaussmatlabcode

Description: 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.
Platform: | Size: 388096 | Author: 张宇 | Hits:

[Special EffectsDetectionandAnalysisofHair

Description: 头发分割,头发检测,头发分析,2006 pami的经典paper-hair segmentation, hair detection
Platform: | Size: 1893376 | Author: gp | Hits:

[AI-NN-PRsteerfilter

Description: 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.
Platform: | Size: 337920 | Author: | Hits:

[Speech/Voice recognition/combine2DPCA_Matlab_Codes_PAMI_2004

Description: 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
Platform: | Size: 2048 | Author: Gu Zhenghong | Hits:

[AI-NN-PRsparse_representation

Description: 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
Platform: | Size: 4096 | Author: zhoujingbo | Hits:

[Graph Recognizeplsa

Description: 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,
Platform: | Size: 5120 | Author: king zhou | Hits:

[Special EffectsWLDA_Robust_Local_Image_Descriptor

Description: 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.
Platform: | Size: 2376704 | Author: 苏航 | Hits:

[OtherCamera_Calib_Perfect_Documents

Description: 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
Platform: | Size: 11481088 | Author: 杜永凯 | Hits:

[CSharpcpuANDram

Description: Program sł uż y do sztucznego przecią zania procesora i zapeł niania pamię ci RAM.
Platform: | Size: 3268608 | Author: Kris18 | Hits:

[Graph Recognize2010PAMI

Description: 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.
Platform: | Size: 2266112 | Author: jinyi | Hits:

[Special Effectsellipse-pami

Description: ellipse fitting 2 test
Platform: | Size: 99328 | Author: JJOH | Hits:

[AlgorithmGNMF

Description: 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.
Platform: | Size: 565248 | Author: zihanhuang | Hits:

[Special EffectsPAMI-background-literature

Description: 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.
Platform: | Size: 16478208 | Author: fengfujian | Hits:
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