计算机视觉与模式识别代码合集第二版three

   

Topic

Name

Reference

code

Optical Flow

Horn and Schunck's Optical Flow

 

code

Optical Flow

Black and Anandan's Optical Flow

 

code

Pose Estimation

Training Deformable Models for Localization

Ramanan, D. "Learning to Parse Images of Articulated Bodies."NIPS 2006

code

Pose Estimation

Calvin Upper-Body Detector

E. Marcin, F. Vittorio, Better Appearance Models for Pictorial Structures, BMVC 2009

code

Pose Estimation

Articulated Pose Estimation using Flexible Mixtures of Parts

Y. Yang, D. Ramanan, Articulated Pose Estimation using Flexible Mixtures of Parts, CVPR 2011

code

Pose Estimation

Estimating Human Pose from Occluded Images

J.-B. Huang and M.-H. Yang, Estimating Human Pose from Occluded Images, ACCV 2009

code

Saliency Detection

Saliency detection: A spectral residual approach

X. Hou and L. Zhang. Saliency detection: A spectral residual approach. CVPR, 2007

code

Saliency Detection

Saliency Using Natural statistics

L. Zhang, M. Tong, T. Marks, H. Shan, and G. Cottrell. Sun: A bayesian framework for saliency using natural statistics. Journal of Vision, 2008

code

Saliency Detection

Attention via Information Maximization

N. Bruce and J. Tsotsos. Saliency based on information maximization. In NIPS, 2005

code

Saliency Detection

Itti, Koch, and Niebur' saliency detection

L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. PAMI, 1998

code

Saliency Detection

Frequency-tuned salient region detection

R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk.Frequency-tuned salient region detection. In CVPR, 2009

code

Saliency Detection

Saliency-based video segmentation

K. Fukuchi, K. Miyazato, A. Kimura, S. Takagi and J. Yamato, Saliency-based video segmentation with graph cuts and sequentially updated priors, ICME 2009

code

Saliency Detection

Segmenting salient objects from images and videos

E. Rahtu, J. Kannala, M. Salo, and J. Heikkila. Segmenting salient objects from images and videos. CVPR, 2010

code

Saliency Detection

Graph-based visual saliency

J. Harel, C. Koch, and P. Perona. Graph-based visual saliency.NIPS, 2007

code

Saliency Detection

Learning to Predict Where Humans Look

T. Judd and K. Ehinger and F. Durand and A. Torralba, Learning to Predict Where Humans Look, ICCV, 2009

code

Saliency Detection

Spectrum Scale Space based Visual Saliency

J Li, M D. Levine, X An and H. He, Saliency Detection Based on Frequency and Spatial Domain Analyses, BMVC 2011

code

Saliency Detection

Discriminant Saliency for Visual Recognition from Cluttered Scenes

D. Gao and N. Vasconcelos, Discriminant Saliency for Visual Recognition from Cluttered Scenes, NIPS, 2004

code

Saliency Detection

Context-aware saliency detection

S. Goferman, L. Zelnik-Manor, and A. Tal. Context-aware saliency detection. In CVPR, 2010.

code

Saliency Detection

Saliency detection using maximum symmetric surround

R. Achanta and S. Susstrunk. Saliency detection using maximum symmetric surround. In ICIP, 2010

code

Saliency Detection

Global Contrast based Salient Region Detection

M.-M. Cheng, G.-X. Zhang, NJ Mitra, X. Huang, S.-M. Hu. Global Contrast based Salient Region Detection. CVPR, 2011

code

Saliency Detection

Learning Hierarchical Image Representation with Sparsity, Saliency and Locality

J. Yang and M.-H. Yang, Learning Hierarchical Image Representation with Sparsity, Saliency and Locality, BMVC 2011

 

Sparse Representation

Centralized Sparse Representation for Image Restoration

W. Dong, L. Zhang and G. Shi, “Centralized Sparse Representation for Image Restoration,” ICCV 2011

code

Sparse Representation

Efficient sparse coding algorithms

H. Lee, A. Battle, R. Rajat and AY Ng, Efficient sparse coding algorithms, NIPS 2007

code

Sparse Representation

Fisher Discrimination Dictionary Learning for Sparse Representation

M. Yang, L. Zhang, X. Feng and D. Zhang, Fisher Discrimination Dictionary Learning for Sparse Representation, ICCV 2011

code

Sparse Representation

Robust Sparse Coding for Face Recognition

M. Yang, L. Zhang, J. Yang and D. Zhang, “Robust Sparse Coding for Face Recognition,” CVPR 2011

code

Sparse Representation

Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing

M. Elad, Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing

code

Sparse Representation

SPArse Modeling Software

J. Mairal, F. Bach, J. Ponce and G. Sapiro. Online Learning for Matrix Factorization and Sparse Coding, JMLR 2010

code

Sparse Representation

Sparse coding simulation software

Olshausen BA, Field DJ, "Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images", Nature 1996

code

Sparse Representation

A Linear Subspace Learning Approach via Sparse Coding

L. Zhang, P. Zhu, Q. Hu and D. Zhang, “A Linear Subspace Learning Approach via Sparse Coding,” ICCV 2011

code

Stereo

Constant-Space Belief Propagation

Q. Yang, L. Wang, and N. Ahuja, A Constant-Space Belief Propagation Algorithm for Stereo Matching, CVPR 2010

code

Stereo

Stereo Evaluation

D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, IJCV 2001

code

Image Denoising andStereo Matching

Efficient Belief Propagation for Early Vision

PF Felzenszwalb and DP Huttenlocher, Efficient Belief Propagation for Early Vision, IJCV, 2006

code

Structure from motion

Nonrigid Structure From Motion in Trajectory Space

 

code

Structure from motion

libmv

 

code

Structure from motion

Bundler

N. Snavely, S M. Seitz, R Szeliski. Photo Tourism: Exploring image collections in 3D. SIGGRAPH 2006

code

Structure from motion

FIT3D

 

code

Structure from motion

VisualSFM : A Visual Structure from Motion System

 

code

Structure from motion

OpenSourcePhotogrammetry

 

code

Structure from motion

Structure and Motion Toolkit in Matlab

 

code

Structure from motion

Structure from Motion toolbox for Matlab by Vincent Rabaud

 

code

Subspace Learning

Generalized Principal Component Analysis

R. Vidal, Y. Ma and S. Sastry. Generalized Principal Component Analysis (GPCA), CVPR 2003

code

Text Recognition

Text recognition in the wild

K. Wang, B. Babenko, and S. Belongie, End-to-end Scene Text Recognition, ICCV 2011

code

Text Recognition

Neocognitron for handwritten digit recognition

K. Fukushima: "Neocognitron for handwritten digit recognition", Neurocomputing, 2003

code

Texture Synthesis

Image Quilting for Texture Synthesis and Transfer

AA Efros and WT Freeman, Image Quilting for Texture Synthesis and Transfer, SIGGRAPH 2001

code

Topic

Name

Reference

code

Visual Tracking

GPU Implementation of Kanade-Lucas-Tomasi Feature
Tracker

S. N Sinha, J.-M. Frahm, M.
Pollefeys and Y. Genc, Feature Tracking and Matching in Video Using
Programmable Graphics Hardware, MVA, 2007

code

Visual Tracking

Superpixel Tracking

S. Wang, H. Lu, F. Yang, and
M.-H. Yang, Superpixel Tracking, ICCV
2011

code

Visual Tracking

Tracking with Online Multiple Instance
Learning

B. Babenko, M.-H. Yang, S.
Belongie, Visual Tracking with Online Multiple Instance Learning,
PAMI 2011

code

Visual Tracking

Motion Tracking in Image Sequences

C. Stauffer and WEL
Grimson. Learning patterns of activity using
real-time tracking, PAMI, 2000

code

Visual Tracking

L1 Tracking

X. Mei and H. Ling, Robust Visual Tracking using
L1 Minimization, ICCV, 2009

code

Visual Tracking

Online Discriminative Object Tracking with Local
Sparse Representation

Q. Wang, F. Chen, W. Xu, and
M.-H. Yang, Online Discriminative Object Tracking
with Local Sparse Representation, WACV 2012

code

Visual Tracking

KLT: An Implementation of the Kanade-Lucas-Tomasi
Feature Tracker

BD Lucas and T. Kanade. An
Iterative Image Registration Technique with an Application to
Stereo Vision. IJCAI, 1981

code

Visual Tracking

Online boosting trackers

H. Grabner, and H. Bischof, On-line Boosting and
Vision, CVPR, 2006

code

Visual Tracking

Visual Tracking Decomposition

J Kwon and KM Lee, Visual Tracking Decomposition,
CVPR 2010

code

Visual Tracking

Globally-Optimal Greedy Algorithms for Tracking a
Variable Number of Objects

H. Pirsiavash, D. Ramanan, C.
Fowlkes. "Globally-Optimal Greedy Algorithms for
Tracking a Variable Number of Objects, CVPR 2011

code

Visual Tracking

Lucas-Kanade affine template tracking

S. Baker and I. Matthews, Lucas-Kanade 20 Years
On: A Unifying Framework, IJCV 2002

code

Visual Tracking

Object Tracking

A. Yilmaz, O. Javed and M. Shah, Object Tracking:
A Survey, ACM Journal of Computing Surveys,
Vol. 38, No. 4, 2006

code

Visual Tracking

Visual Tracking with Histograms and Articulating
Blocks

SM Shshed Nejhum, J. Ho, and M.-H.Yang, Visual
Tracking with Histograms and Articulating Blocks, CVPR
2008

code

Visual Tracking

Tracking using Pixel-Wise Posteriors

C. Bibby and I. Reid, Tracking using Pixel-Wise
Posteriors, ECCV 2008

code

Visual Tracking

Incremental Learning for Robust Visual
Tracking

D. Ross, J. Lim, R.-S. Lin,
M.-H. Yang, Incremental Learning for Robust Visual
Tracking, IJCV 2007

code

Visual Tracking

Particle Filter Object Tracking

 

code

一共248篇。one:47、two:45、three:
49、four:
47、five:
44、six:
16。

计算机视觉与模式识别代码合集第二版three的更多相关文章

  1. 计算机视觉与模式识别代码合集第二版two

    Topic Name Reference code Image Segmentation Segmentation by Minimum Code Length AY Yang, J. Wright, ...

  2. 计算机视觉与模式识别代码合集第二版one

    Topic Name Reference code Feature Detection, Feature Extraction, and Action Recognition Space-Time I ...

  3. [ZZ] UIUC同学Jia-Bin Huang收集的计算机视觉代码合集

    UIUC同学Jia-Bin Huang收集的计算机视觉代码合集 http://blog.sina.com.cn/s/blog_4a1853330100zwgm.htmlv UIUC的Jia-Bin H ...

  4. git常用代码合集

    git常用代码合集 1. Git init:初始化一个仓库 2. Git add 文件名称:添加文件到Git暂存区 3. Git commit -m “message”:将Git暂存区的代码提交到Gi ...

  5. WooCommerce代码合集整理

    本文整理了一些WooCommerce代码合集,方便查阅和使用,更是为了理清思路,提高自己.以下WooCommerce简称WC,代码放在主题的functions.php中即可. 修改首页和分类页面每页产 ...

  6. 【转载】GitHub 标星 1.2w+,超全 Python 常用代码合集,值得收藏!

    本文转自逆袭的二胖,作者二胖 今天给大家介绍一个由一个国外小哥用好几年时间维护的 Python 代码合集.简单来说就是,这个程序员小哥在几年前开始保存自己写过的 Python 代码,同时把一些自己比较 ...

  7. UIUC同学Jia-Bin Huang收集的计算机视觉代码合集

    转自:http://blog.sina.com.cn/s/blog_631a4cc40100wrvz.html   UIUC的Jia-Bin Huang同学收集了很多计算机视觉方面的代码,链接如下: ...

  8. 常用的js代码合集

    !function(util){ window.Utils = util(); }( function(){ //document_event_attributes var DEA = "d ...

  9. vs2010下载Microsoft Visual Studio 2010 Express(vs2010中文版下载)速成官方合集正式版

    http://www.xiazaiba.com/html/1832.html VB.NET 2010 Express: 2KQT8-HV27P-GTTV9-2WBVV-M7X96VC++ 2010 E ...

随机推荐

  1. Linux中处理需要传输的IP报文流程

    本文主要讲解了Linux中处理需要传输的IP报文流程,使用的内核的版本是2.6.32.27 为了方便理解,本文采用整体流程图加伪代码的方式对Linux中处理需要传输的IP报文流程进行了讲解,希望可以对 ...

  2. 使用ViewPager模拟实现应用程序启动界面

    经常在开发应用程序的时候,软件启动有启用动画界面,一般使用图片来进行界面该版本最新更新等等内容,今天来使用ViewPager来模拟实现这功能,也希望对大家有个小小的参考作用,在以后的项目中能够使用到. ...

  3. 集合简单总结 ArrayList、List、Hashtable、Dictionary

      ============================ 集合综述 ============================== 1.什么是泛型: 泛型就是限制了操作类型,意思如下:       ...

  4. MFC常用控件CListCtrl 、CSliderCtrl、CToolTipCtrl、CTreeCtrl的自绘

    Window平台下MFC提供的CListCtrl .CSliderCtrl.CToolTipCtrl.CTreeCtrl等控件大多时候是不能满足我们的需求,如果我要在改变滑动条的颜色,我要改变滑动条的 ...

  5. TTimerThread和TThreadedTimer(都是通过WaitForSingleObject和CreateEvent来实现的)

    //////////////////////////////////////////////////// // // // ThreadedTimer 1.24 // // // // Copyrig ...

  6. 基于visual Studio2013解决面试题之1403插入排序

     题目

  7. Storm流计算之项目篇(Storm+Kafka+HBase+Highcharts+JQuery,含3个完整实际项目)

    1.1.课程的背景 Storm是什么? 为什么学习Storm? Storm是Twitter开源的分布式实时大数据处理框架,被业界称为实时版Hadoop. 随着越来越多的场景对Hadoop的MapRed ...

  8. 基于visual Studio2013解决C语言竞赛题之1052求根

       题目 解决代码及点评 /* 功能:用简单迭代法解方程 e^x - x - 2 = 0 它有两个根(如图),其迭代公式为: 1) x[n+1]= e^x*n-2 (初值X<0时) ...

  9. javascript 如何获取return回来的对象值

    function aa(){ var b = 1; var c = b+2; return{ a1:b, a2:c } } var bb=aa(); alert(bb.a1);

  10. hadoop 学习入门 一 云计算之旅

    一. 什么是云计算: 云计算是分布式计算.网格计算.并行计算.效用计算.网络存储.负载均衡.虚拟化.网络计算等传统计算技术的融合体. 二. 云计算的核心技术: 1 编程模型 2 海量数据分布存储技术 ...