计算机视觉开源项目

素颜马尾好姑娘i 2022-04-04 16:58 262阅读 0赞

转载：[https://blog.csdn.net/linear\_luo/article/details/52334822][https_blog.csdn.net_linear_luo_article_details_52334822]

## 按类别分类 ##

*  特征提取
 *  SURF特征: [http://www.vision.ee.ethz.ch/software/index.de.html(当然这只是其中之一][http_www.vision.ee.ethz.ch_software_index.de.html])
 *  LBP特征(一种纹理特征)：[http://www.comp.hkbu.edu.hk/~icpr06/tutorials/Pietikainen.html][http_www.comp.hkbu.edu.hk_icpr06_tutorials_Pietikainen.html]
 *  Fast Corner Detection（OpenCV中的Fast算法）:[FASTCorner Detection -- Edward Rosten][]
 *  机器视觉
 *  A simple object detector with boosting(Awardedthe Best Short Course Prize at ICCV2005，So了解adaboost的**推荐**之作)：[http://people.csail.mit.edu/torralba/shortCourseRLOC/boosting/boosting.html][http_people.csail.mit.edu_torralba_shortCourseRLOC_boosting_boosting.html]
 *  Boosting(该网页上有相当全的Boosting的文章和几个Boosting代码，本人**推荐**)：[http://cbio.mskcc.org/~aarvey/boosting\_papers.html][http_cbio.mskcc.org_aarvey_boosting_papers.html]
 *  Adaboost Matlab 工具：[http://graphics.cs.msu.ru/en/science/research/machinelearning/adaboosttoolbox][http_graphics.cs.msu.ru_en_science_research_machinelearning_adaboosttoolbox]
 *  [MultiBoost][](不说啥了，多类Adaboost算法的程序)：[http://sourceforge.net/projects/multiboost/][http_sourceforge.net_projects_multiboost]
 *  [TextonBoost][](我们教研室王冠夫师兄的毕设):[Jamie Shotton - Code][]
 *  [LibSvm][]的老爹（**推荐**）:[http://www.csie.ntu.edu.tw/~cjlin/][http_www.csie.ntu.edu.tw_cjlin]
 *  [Conditional RandomFields][]（CRF论文+Code列表，**推荐**）
 *  [CRF++: Yet Another CRF toolkit][CRF_ Yet Another CRF toolkit]
 *  [Conditional Random Field (CRF) Toolbox for Matlab][Conditional Random Field _CRF_ Toolbox for Matlab]
 *  [Tree CRFs][]
 *  [LingPipe:Installation][LingPipe_Installation]
 *  [Hidden MarkovModels][]（**推荐**）
 *  [隐马尔科夫模型(HiddenMarkov Models) 系列之一 - eaglex的专栏 - 博客频道 - CSDN.NET（推荐）][HiddenMarkov Models_ _ - eaglex_ - _ - CSDN.NET]
 *  综合代码
 *  [CvPapers][](好吧，牛吧网站，里面有ICCV，CVPR，ECCV，SIGGRAPH的论文收录，然后还有一些论文的代码搜集，要求加精！)：[http://www.cvpapers.com/][http_www.cvpapers.com]
 *  Computer VisionSoftware(里面代码很多，并详细的给出了分类)：[http://peipa.essex.ac.uk/info/software.html][http_peipa.essex.ac.uk_info_software.html]
 *  某人的Windows Live（我看里面东东不少就收藏了）：[https://skydrive.live.com/?cid=3b6244088fd5a769\#cid=3B6244088FD5A769&id=3B6244088FD5A769!523][https_skydrive.live.com_cid_3b6244088fd5a769_cid_3B6244088FD5A769_id_3B6244088FD5A769_523]
 *  MATLAB and Octave Functions for Computer Visionand Image Processing（这个里面的东西也很全，只是都是用Matlab和Octave开发的）：[http://www.csse.uwa.edu.au/~pk/research/matlabfns/][http_www.csse.uwa.edu.au_pk_research_matlabfns]
 *  Computer VisionResources（里面的视觉算法很多，给出了相应的论文和Code，挺好的）：[https://netfiles.uiuc.edu/jbhuang1/www/resources/vision/index.html][https_netfiles.uiuc.edu_jbhuang1_www_resources_vision_index.html]
 *  MATLAB Functions for Multiple ViewGeometry（关于物体多视角计算的库）：[http://www.robots.ox.ac.uk/~vgg/hzbook/code/][http_www.robots.ox.ac.uk_vgg_hzbook_code]
 *  Evolutive Algorithm based on Naïve Bayes modelsEstimation（单独列了一个算法的Code）：[http://www.cvc.uab.cat/~xbaro/eanbe/\#\_Software][http_www.cvc.uab.cat_xbaro_eanbe_Software]
 *  主页代码
 *  [Pablo Negri's Home Page][Pablo Negri_s Home Page]
 *  [Jianxin Wu'shomepage][Jianxin Wu_shomepage]（敝人用的比较多）
 *  [Peter Carbonetto][]
 *  [Markov Random Fields for Super-Resolution][]
 *  [Detectingand Sketching the Common][]
 *  [Pedro Felzenszwalb][]
 *  [Hae JONG, SEO][Hae JONG_ SEO]
 *  [CAP 5416- Computer Vision][]
 *  [Parallel Tracking andMapping for Small AR Workspaces (PTAM)][Parallel Tracking andMapping for Small AR Workspaces _PTAM]
 *  [Deva Ramanan - UC Irvine -Computer Vision][]
 *  [Raghuraman Gopalan][]
 *  [Hui Kong][]
 *  [Jamie Shotton -Post-Doctoral Researcher in Computer Vision][]
 *  [Jean-YvesAUDIBERT][]
 *  [Olga Veksler][]
 *  [StephenGould][]
 *  [Publications (LastUpdate: 09/30/10)][Publications _LastUpdate_ 09_30_10]
 *  [Karim Ali - FlowBoost][]
 *  [Asimple parts and structure object detector][]
 *  [Code -Oxford Brookes Vision Group][]
 *  [Taku Kudo][]

## 按专题分类 ##

*  行人检测
 *  [Histogram ofOriented Gradient (Windows)][Histogram ofOriented Gradient _Windows]
 *  [INRIAPedestrian detector][]
 *  [Poselets][]
 *  [WilliamRobson Schwartz - Softwares][]
 *  [calvinupper-body detector v1.02][]
 *  [RPT@CVG][RPT_CVG]
 *  [MainPage][]
 *  [SourceCode][]
 *  [Dr.Luciano Spinello][]
 *  [PedestrianDetection][]
 *  [Class-Specific Hough Forests for Object Detection][]
 *  [Jianxin Wu'shomepage][Jianxin Wu_shomepage]（就是上面的）
 *  Berkeley大学做的PedestrianDetector，使用交叉核的支持向量机，特征使用HOG金字塔，提供Matlab和C++混编的代码：[http://www.cs.berkeley.edu/~smaji/projects/ped-detector/][INRIAPedestrian detector]
 *  基于光流法的行人检测(无Code，仅为留存方便)http://www.cnblogs.com/wangbin\_ben/archive/2010/09/21/1832843.html
 *  视觉壁障
 *  [High Speed ObstacleAvoidance using Monocular Vision and Reinforcement Learning][]
 *  Tracking算法
 *  [TLD][](2010年很火的tracking算法)
 *  [online boostingtrackers][]
 *  [BorisBabenko][]
 *  Optical Flow Algorithm Evaluation(提供了一个动态贝叶斯网络框架，例如递 归信息处理与分析、卡尔曼滤波、粒子滤波、序列蒙特卡罗方法等，C++写的)[http://of-eval.sourceforge.net/][http_of-eval.sourceforge.net]
 *  物体检测算法
 *  [Object Detection][]
 *  [Softwarefor object detection][]
 *  人脸检测
 *  [SourceCode][]
 *  [10个人脸检测项目][10]
 *  [Jianxin Wu'shomepage][Jianxin Wu_shomepage]（又是这货）
 *  OpenCV中的Haar检测器
 *  ICA独立成分分析
 *  [An ICApage-papers,code,demo,links (Tony Bell)][An ICApage-papers_code_demo_links _Tony Bell]
 *  [FastICA][]
 *  [Cached k-d tree search for ICP algorithms][]
 *  滤波算法
 *  卡尔曼滤波：[The KalmanFilter][](终极网页)
 *  Bayesian Filtering Library: [The Bayesian FilteringLibrary][]
 *  路面识别
 *  [Source Code][]
 *  [Vanishing pointdetection for general road detection][]
 *  分割算法
 *  MATLAB Normalized Cuts SegmentationCode：[software][]
 *  超像素分割：[SLICSuperpixels][]

[https_blog.csdn.net_linear_luo_article_details_52334822]: https://blog.csdn.net/linear_luo/article/details/52334822
[http_www.vision.ee.ethz.ch_software_index.de.html]: http://www.vision.ee.ethz.ch/software/index.de.html%28%E5%BD%93%E7%84%B6%E8%BF%99%E5%8F%AA%E6%98%AF%E5%85%B6%E4%B8%AD%E4%B9%8B%E4%B8%80
[http_www.comp.hkbu.edu.hk_icpr06_tutorials_Pietikainen.html]: http://www.comp.hkbu.edu.hk/~icpr06/tutorials/Pietikainen.html
[FASTCorner Detection -- Edward Rosten]: http://mi.eng.cam.ac.uk/~er258/work/fast.html
[http_people.csail.mit.edu_torralba_shortCourseRLOC_boosting_boosting.html]: http://people.csail.mit.edu/torralba/shortCourseRLOC/boosting/boosting.html
[http_cbio.mskcc.org_aarvey_boosting_papers.html]: http://cbio.mskcc.org/~aarvey/boosting_papers.html
[http_graphics.cs.msu.ru_en_science_research_machinelearning_adaboosttoolbox]: http://graphics.cs.msu.ru/en/science/research/machinelearning/adaboosttoolbox
[MultiBoost]: http://192.168.1.27/wiki/MultiBoost
[http_sourceforge.net_projects_multiboost]: http://sourceforge.net/projects/multiboost/
[TextonBoost]: http://192.168.1.27/wiki/TextonBoost
[Jamie Shotton - Code]: http://jamie.shotton.org/work/code.html
[LibSvm]: http://192.168.1.27/wiki/LibSvm
[http_www.csie.ntu.edu.tw_cjlin]: http://www.csie.ntu.edu.tw/~cjlin/
[Conditional RandomFields]: http://www.inference.phy.cam.ac.uk/hmw26/crf/
[CRF_ Yet Another CRF toolkit]: http://crfpp.sourceforge.net/
[Conditional Random Field _CRF_ Toolbox for Matlab]: http://www.computervisiononline.com/software/conditional-random-field-crf-toolbox-matlab
[Tree CRFs]: http://www.cs.cmu.edu/~jkbradle/TreeCRFs/
[LingPipe_Installation]: http://alias-i.com/lingpipe/web/install.html
[Hidden MarkovModels]: http://jedlik.phy.bme.hu/~gerjanos/HMM/node2.html
[HiddenMarkov Models_ _ - eaglex_ - _ - CSDN.NET]: http://blog.csdn.net/eaglex/article/details/6376826
[CvPapers]: http://192.168.1.27/wiki/CvPapers
[http_www.cvpapers.com]: http://www.cvpapers.com/
[http_peipa.essex.ac.uk_info_software.html]: http://peipa.essex.ac.uk/info/software.html
[https_skydrive.live.com_cid_3b6244088fd5a769_cid_3B6244088FD5A769_id_3B6244088FD5A769_523]: https://skydrive.live.com/?cid=3b6244088fd5a769#cid=3B6244088FD5A769&id=3B6244088FD5A769%21523
[http_www.csse.uwa.edu.au_pk_research_matlabfns]: http://www.csse.uwa.edu.au/~pk/research/matlabfns/
[https_netfiles.uiuc.edu_jbhuang1_www_resources_vision_index.html]: https://netfiles.uiuc.edu/jbhuang1/www/resources/vision/index.html
[http_www.robots.ox.ac.uk_vgg_hzbook_code]: http://www.robots.ox.ac.uk/~vgg/hzbook/code/
[http_www.cvc.uab.cat_xbaro_eanbe_Software]: http://www.cvc.uab.cat/~xbaro/eanbe/#_Software
[Pablo Negri_s Home Page]: http://pablonegri.free.fr/index.html
[Jianxin Wu_shomepage]: http://c2inet.sce.ntu.edu.sg/Jianxin/index.html
[Peter Carbonetto]: http://www.cs.ubc.ca/~pcarbo/
[Markov Random Fields for Super-Resolution]: http://people.csail.mit.edu/billf/project%20pages/sresCode/Markov%20Random%20Fields%20for%20Super-Resolution.html
[Detectingand Sketching the Common]: http://www.wisdom.weizmann.ac.il/~vision/SketchTheCommon/
[Pedro Felzenszwalb]: http://people.cs.uchicago.edu/~pff/
[Hae JONG_ SEO]: http://users.soe.ucsc.edu/~rokaf/interests.html
[CAP 5416- Computer Vision]: http://www.cise.ufl.edu/class/cap5416fa09/Projects.html
[Parallel Tracking andMapping for Small AR Workspaces _PTAM]: http://www.robots.ox.ac.uk/~gk/PTAM/
[Deva Ramanan - UC Irvine -Computer Vision]: http://www.ics.uci.edu/~dramanan/
[Raghuraman Gopalan]: http://www.umiacs.umd.edu/~raghuram/
[Hui Kong]: http://bmi.osu.edu/~hkong/index.htm
[Jamie Shotton -Post-Doctoral Researcher in Computer Vision]: http://jamie.shotton.org/work/index.html
[Jean-YvesAUDIBERT]: http://imagine.enpc.fr/~audibert/index.html
[Olga Veksler]: http://www.csd.uwo.ca/~olga/
[StephenGould]: http://users.cecs.anu.edu.au/~sgould/index.html#software
[Publications _LastUpdate_ 09_30_10]: http://faculty.ucmerced.edu/mhyang/code.html
[Karim Ali - FlowBoost]: http://cvlab.epfl.ch/~ali/flowboost.htm
[Asimple parts and structure object detector]: http://people.csail.mit.edu/fergus/iccv2005/partsstructure.html
[Code -Oxford Brookes Vision Group]: http://cms.brookes.ac.uk/research/visiongroup/code.php
[Taku Kudo]: http://chasen.org/~taku/index.html.en
[Histogram ofOriented Gradient _Windows]: http://www.computing.edu.au/~12482661/hog.html
[INRIAPedestrian detector]: http://www.cs.berkeley.edu/~smaji/projects/ped-detector/
[Poselets]: http://www.eecs.berkeley.edu/~lbourdev/poselets/
[WilliamRobson Schwartz - Softwares]: http://www.liv.ic.unicamp.br/~wschwartz/softwares.html
[calvinupper-body detector v1.02]: http://www.vision.ee.ethz.ch/~calvin/calvin_upperbody_detector/
[RPT_CVG]: http://www.cvg.rdg.ac.uk/software/rpt/index.html
[MainPage]: http://www.idiap.ch/~odobez/human-detection/index.html
[SourceCode]: http://www.lienhart.de/Source_Code/source_code.html
[Dr.Luciano Spinello]: http://www.informatik.uni-freiburg.de/~spinello/people2D.html
[PedestrianDetection]: http://bmi.osu.edu/~hkong/Human_Detection.html
[Class-Specific Hough Forests for Object Detection]: http://www.vision.ee.ethz.ch/~gallju/projects/houghforest/index.html
[High Speed ObstacleAvoidance using Monocular Vision and Reinforcement Learning]: http://www.cs.cornell.edu/~asaxena/rccar/
[TLD]: http://info.ee.surrey.ac.uk/Personal/Z.Kalal/tld.html
[online boostingtrackers]: http://www.vision.ee.ethz.ch/boostingTrackers/
[BorisBabenko]: http://vision.ucsd.edu/~bbabenko/project_miltrack.shtml
[http_of-eval.sourceforge.net]: https://blog.csdn.net/
[Object Detection]: http://www.irisa.fr/vista/Equipe/People/Laptev/objectdetection.html
[Softwarefor object detection]: http://www.seas.upenn.edu/~limingw/obj_det_accv07/code.html
[10]: http://itp.nyu.edu/~mbe230/blogmer/2011/02/10-face-detection-projects/
[An ICApage-papers_code_demo_links _Tony Bell]: http://cnl.salk.edu/~tony/ica.html
[FastICA]: http://research.ics.tkk.fi/ica/fastica/
[Cached k-d tree search for ICP algorithms]: http://kos.informatik.uni-osnabrueck.de/download/3dim2007/paper.html
[The KalmanFilter]: http://www.cs.unc.edu/~welch/kalman/index.html
[The Bayesian FilteringLibrary]: http://www.orocos.org/bfl
[Source Code]: http://www.multimedia-computing.de/wiki/Source_Code#Dataset_of_logos_in_real-world_images:_FlickrLogos-32
[Vanishing pointdetection for general road detection]: http://bmi.osu.edu/~hkong/Road_Detection.html
[software]: http://www.cis.upenn.edu/~jshi/software/
[SLICSuperpixels]: http://ivrg.epfl.ch/supplementary_material/RK_SLICSuperpixels/index.html