http://blog.csdn.net/xc1499715227/article/details/41931449?ref=myread
在這裡,我特別聲明:本文章的源作者是 楊曉冬 (個人郵箱:[email protected])。原文的鏈接是
http://www.iask.sina.com.cn/u/2252291285/ish。版權歸 楊曉冬 朋友所有。
我非常感謝原作者辛勤地編寫本文章,並願意共享出來。我也希望轉載本文的各位朋友,要注明原作者和出處,以尊重原作者!
-------------------------------飛信天下
By xdyang(楊曉冬[email protected])
本文是對現有的圖像處理和計算機視覺的經典書籍(後面會有推薦)的一個補充。一般的圖像處理書籍都是介紹性的介紹某個方法,在每個領域內都會引用幾十上百篇參考文獻。有時候想深入研究這個領域的時候卻發現文獻太多,不知如何選擇。但實際上在每個領域都有那麼三五篇抑或更多是非讀不可的經典文獻。這些文獻除了提出了很經典的算法,同時他們的Introduction和Related work也是對所在的領域很好的總結。讀通了這幾篇文獻也就等於深入了解了這個領域,比單純的看書收獲要多很多。寫本文的目的就是想把自己所了解到的各個領域的經典文章整理出來,不用迷失在參考文獻的汪洋大海裡。
B.圖像分析:對圖像的內容進行分析,提取有意義的特征,以便於後續的處理。處理的仍然是單幅圖像。
C.計算機視覺:對圖像分析得到的特征進行分析,提取場景的語義表示,讓計算機具有人眼和人腦的能力。這時處理的是多幅圖像或者序列圖像,當然也包括部分單幅圖像。
關於圖像處理,圖像分析和計算機視覺的劃分並沒有一個很統一的標准。一般的來說,圖像處理的書籍總會或多或少的介紹一些圖像分析和計算機視覺的知識,比如岡薩雷斯的數字圖像處理。而計算機視覺的書籍基本上都會包括圖像處理和圖像分析,只是不會介紹的太詳細。其實圖像處理,圖像分析和計算機視覺都可以納入到計算機視覺的范疇:圖像處理->低層視覺(low level vision),圖像分析->中間層視覺(middle level vision),計算機視覺->高層視覺(high level vision)。這是一般的計算機視覺或者機器視覺的劃分方法。在本文中,仍然按照傳統的方法把這個領域劃分為圖像處理,圖像分析和計算機視覺。
(2)OpenCV有一堆圖像處理和計算機視覺的大牛在維護,bug在逐步減少,每個新的版本都會帶來不同的驚喜。而且它已經或者逐步在移植到不懂的平台,並提供了對Python的很好的支持。
(3)在OpenCV上可以嘗試各種最新以及成熟的技術,而不需要自己從頭去寫,比如人臉檢測(Harr,LBP),DPM(Latent SVM),高斯背景模型,特征檢測,聚類,hough變換等等 。而且它還支持各種機器學習方法(SVM,NN,KNN,決策樹,Boosting等),使用起來很簡單。
(4)文檔內容豐富,並且給出了很多示例程序。當然也有一些地方文檔描述不清楚,不過看看代碼就很清楚了。
(5)完全開源。可以從中間提取出任何需要的算法。
(6)從學校出來後,除極少數會繼續在學術圈裡,大部分還是要進入工業界。現在在工 業界,c/c++仍是主流,很多公司都會優先考慮熟悉或者精通OpenCV的。事實上,在學術界,現在OpenCV也大有取代matlab之勢。以前的demo或者source code,很多作者都願意給出matlab版本的,然後別人再呼哧呼哧改成c版本的。現在作者干脆給出c/c++版本,或者自己集成到OpenCV中去,這樣能快速提升自己的影響力。
如果想在圖像處理和計算機視覺界有比較深入的研究,並且以後打算進入這個領域工作的話,建議把OpenCV作為自己的主攻方向。如果找工作的時候敢號稱自己精通OpenCV的話,肯定可以找到一份滿意的工作。
由於個人精力和視野的關系,有一些我未涉足過的領域不敢斗膽推薦,只是列出了一些引用率比較高的文章,比如攝像機標定和立體視覺。不過將來,由於工作或者其他原因,這些領域也會接觸到,我會逐步增減這些領域的文章。盡管如此,仍然會有疏漏,忘見諒。同時文章的挑選也夾帶了一些個人的喜好,比如我個人比較喜歡low level方向的,尤其是IJCV和PAMI上面的文章,因此這方面也稍微多點,希望不要引起您的反感。如果有什麼意見或者建議,歡迎mail我。文章和資源我都會在我的csdn blog和sina ishare同步更新。此申明:這些論文的版權歸作者及其出版商所有,請勿用於商業目的。
個人blog: http://blog.csdn.net/dcraw
新浪iask地址:http://iask.sina.com.cn/u/2252291285/ish?folderid=868438
本文的安排如下。第一部分是緒論。第二部分是圖像處理中所需要用到的理論基礎,主要是這個領域所涉及到的一些比較好的參考書籍。第三部分是計算機視覺中所涉及到的信號處理和模式識別文章。由於圖像處理與圖像分析太難區分了,第四部分集中討論了它們。第五部分是計算機視覺部分。最後是小結。
信號與系統(第2版) Alan V.Oppenheim等著 劉樹棠譯
離散時間信號處理(第2版) A.V.奧本海姆等著 劉樹棠譯
數字信號處理:理論算法與實現 胡廣書 (編者)
現代信號處理 張賢達著
統計信號處理基礎:估計與檢測理論 Steven M.Kay等著 羅鵬飛等譯
自適應濾波器原理(第4版) Simon Haykin著 鄭寶玉等譯
信號處理的小波導引:稀疏方法(原書第3版) tephane Malla著, 戴道清等譯
信息論基礎(原書第2版) Thomas M.Cover等著 阮吉壽等譯
Pattern Recognition and Machine Learning Bishop, Christopher M. Springer
模式識別(英文版)(第4版) 西奧多裡德斯著
Pattern Classification (2nd Edition) Richard O. Duda等著
Statistical Pattern Recognition, 3rd Edition Andrew R. Webb等著
模式識別(第3版) 張學工著
圖像處理,分析與機器視覺 第三版 Sonka等著 艾海舟等譯
Image Processing, Analysis and Machine Vision
( 附:這本書是圖像處理與計算機視覺裡面比較全的一本書了,幾乎涵蓋了圖像視覺領域的各個方面。中文版的個人感覺也還可以,值得一看。)
數字圖像處理 第三版 岡薩雷斯等著
Digital Image Processing
(附:數字圖像處理永遠的經典,現在已經出到了第三版,相當給力。我的導師曾經說過,這本書寫的很優美,對寫英文論文也很有幫助,建議購買英文版的。)
計算機視覺:理論與算法 Richard Szeliski著
Computer Vision: Theory and Algorithm
(附:微軟的Szeliski寫的一本最新的計算機視覺著作。內容非常豐富,尤其包括了作者的研究興趣,比如一般的書裡面都沒有的Image Stitching和 Image Matting等。這也從另一個側面說明這本書的通用性不如Sonka的那本。不過作者開放了這本書的電子版,可以有選擇性的閱讀。
http://szeliski.org/Book/
Multiple View Geometry in Computer Vision 第二版Harley等著
引用達一萬多次的經典書籍了。第二版到處都有電子版的。第一版曾出過中文版的,後來絕版了。網上也可以找到中英文版的電子版。)
計算機視覺:一種現代方法 DA Forsyth等著
Computer Vision: A Modern Approach
MIT的經典教材。雖然已經過去十年了,還是值得一讀。期待第二版
Machine vision: theory, algorithms, practicalities 第三版 Davies著
(附:為數不多的英國人寫的書,偏向於工業應用。)
數字圖像處理 第四版 Pratt著
Digital Image Processing
(附:寫作風格獨樹一幟,也是圖像處理領域很不錯的一本書。網上也可以找到非常清晰的電子版。)
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[2001 ML] Random Forests
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[2009 PAMI] Robust Face Recognition via Sparse Representation
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[2010 PIEEE] Dictionaries for Sparse Representation Modeling
[2010 PIEEE] It's All About the Data
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[1998] The Lifting Scheme_ A Construction Of Second Generation Wavelets
[2000 TCE] The JPEG2000 still image coding system_ an overview
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[1998 ICCV] Bilateral Filtering for Gray and Color Images
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[2005 IEEE] Trends and perspectives in image and video coding
[2002 IJCV] Vision and the Atmosphere
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[1990 IEEE] Iterative methods for image deblurring
[1996 SPM] Blind Image Deconvolution
[1997 SPM] Digital image restoration
[2005] Digital Image Reconstruction - Deblurring and Denoising
[2006 Siggraph] Removing Camera Shake from a Single Photograph
[2008 Siggraph] High-quality Motion Deblurring from a Single Image
[2011 PAMI] Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
[2008 Siggraph] Single Image Dehazing
[2009 CVPR] Single Image Haze Removal Using Dark Channel Prior
[2011 PAMI] Single Image Haze Removal Using Dark Channel Prior
[1992 SIAM] Image selective smoothing and edge detection by nonlinear diffusion. II
[1992 SIAM] Image selective smoothing and edge detection by nonlinear diffusion
[1992] Nonlinear total variation based noise removal algorithms
[1994 SIAM] Signal and image restoration using shock filters and anisotropic diffusion
[1995 TIT] De-noising by soft-thresholding
[1998 TIP] Orientation diffusions
[2000 TIP] Adaptive wavelet thresholding for image denoising and compression
[2000 TIP] Fourth-order partial differential equations for noise removal
[2001] Denoising through wavelet shrinkage
[2002 TIP] The Curvelet Transform for Image Denoising
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[2008 PAMI] Automatic Estimation and Removal of Noise from a Single Image
[2009 TIP] Is Denoising Dead
[1980] theory of edge detection
[1983 Canny Thesis] find edge
[1986 PAMI] A Computational Approach to Edge Detection
[1990 PAMI] Scale-space and edge detection using anisotropic diffusion
[1991 PAMI] The design and use of steerable filters
[1995 PR] Multiresolution edge detection techniques
[1996 TIP] Optimal edge detection in two-dimensional images
[1998 PAMI] Local Scale Control for Edge Detection and Blur Estimation
[2003 PAMI] Statistical edge detection_ learning and evaluating edge cues
[2004 IEEE] Edge Detection Revisited
[2004 PAMI] Design of steerable filters for feature detection using canny-like criteria
[2004 PAMI] Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
[2011 IVC] Edge and line oriented contour detection State of the art
[2000 PAMI] Normalized cuts and image segmentation
[2001 PAMI] Fast approximate energy minimization via graph cuts
[2004 PAMI] What energy functions can be minimized via graph cuts
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[1989] A Comparative study of Hough transform methods for circle finding
[1992 PAMI] Shapes recognition using the straight line Hough transform_ theory and generalization
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[2000 CVIU] Robust Detection of Lines Using the Progressive Probabilistic Hough Transform
[2000 TMI] Interpolation revisited
[2008 Fnd] Image and Video Matting A Survey
[2008 PAMI] A Closed-Form Solution to Natural Image Matting
[2008 PAMI] Spectral Matting
[1994] The statistics of natural images
[2003 JMIV] On Advances in Statistical Modeling of Natural Images
[2009 IJCV] Fields of Experts
[2009 PAMI] Modeling multiscale subbands of photographic images with fields of Gaussian scale mixtures
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CBIR Chinese
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[2004 ECCV] Face Recognition with Local Binary Patterns
[2006 PAMI] Face Description with Local Binary Patterns
[2011 TIP] Rotation-Invariant Image and Video Description With Local Binary Pattern Features
[1998 TIP] A general framework for low level vision
[2000 IJCV] Learning Low-Level Vision
[1995 PAMI] Mean shift, mode seeking, and clustering
[2002 PAMI] Mean shift a robust approach toward feature space analysis
[2003 CVPR] Mean-shift blob tracking through scale space
[2009 CVIU] Object tracking using SIFT features and mean shift
[2012 PAMI] Mean Shift Trackers with Cross-Bin Metrics
OpenCV Computer Vision Face Tracking For Use in a Perceptual User Interface
[2002 BMVC] Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
[2003] MSER Author Presentation
[2004 IVC] Robust wide-baseline stereo from maximally stable extremal regions
[2011 PAMI] Are MSER Features Really Interesting
http://en.wikipedia.org/wiki/Singapore_Airlines_Flight_006
最後一篇文章也是Fua課題組的,作者給出的demo效果相當好。
[1998 PAMI] Example-based learning for view-based human face detection
[2003 IJCV] Learning the Statistics of People in Images and Video
[2011 PAMI] Learning to Detect a Salient Object
[2012 PAMI] A Real-Time Deformable Detector
[2003 PAMI] Kernel-based object tracking
[2007 PAMI] Tracking People by Learning Their Appearance
[2008 ACM] Object Tracking A Survey
[2008 PAMI] Segmentation and Tracking of Multiple Humans in Crowded Environments
[2011 PAMI] Hough Forests for Object Detection, Tracking, and Action Recognition
[2011 PAMI] Robust Object Tracking with Online Multiple Instance Learning
[2012 IJCV] PWP3D Real-Time Segmentation and Tracking of 3D Objects
[1992 IEEE] Historical review of OCR research and development
Video OCR A Survey and Practitioner's Guide
[1981 AI] Determine Optical Flow
[1994 IJCV] Performance of optical flow techniques
[1995 ACM] The Computation of Optical Flow
[2004 TR] Tutorial Computing 2D and 3D Optical Flow
[2005 BOOK] Optical Flow Estimation
[2008 ECCV] Learning Optical Flow
[2011 IJCV] A Database and Evaluation Methodology for Optical Flow
[1998 IJCV] CONDENSATION—Conditional Density Propagation for Visual Tracking
[2002 TSP] A tutorial on particle filters for online nonlinear non-Gaussian Bayesian tracking
[2002 TSP] Particle filters for positioning, navigation, and tracking
[2003 SPM] particle filter
[1999 CVIU] Visual analysis of human movement_ A survey
[2001 CVIU] A Survey of Computer Vision-Based Human Motion Capture
[2005 TIP] Image change detection algorithms a systematic survey
[2006 CVIU] a survey of avdances in vision based human motion capture
[2007 CVIU] Vision-based human motion analysis An overview
[2007 IJCV] Pedestrian Detection via Periodic Motion Analysis
[2007 PR] A survey of skin-color modeling and detection methods
[2010 IVC] A survey on vision-based human action recognition
[2012 PAMI] Pedestrian Detection An Evaluation of the State of the Art
[2001 IJCV] Modeling the Shape of the Scene A Holistic Representation of the Spatial Envelope
[2001 PAMI] Visual Word Ambiguity
[2007 PAMI] A Thousand Words in a Scene
[2010 PAMI] Evaluating Color Descriptors for Object and Scene Recognition
[2011 PAMI] CENTRIST A Visual Descriptor for Scene Categorization
[2003 PAMI] Detecting moving shadows-- algorithms and evaluation
[1993 PR] IMPROVED MOMENT INVARIANTS FOR SHAPE DISCRIMINATION
[1993 PR] Pattern Recognition by Affine Moment Invariants
[1996 PR] IMAGE RETRIEVAL USING COLOR AND SHAPE
[2001 SMI] Shape matching similarity measures and algorithms
[2002 PAMI] Shape matching and object recognition using shape contexts
[2004 PR] Review of shape representation and description techniques
[2006 PAMI] Integral Invariants for Shape Matching
[2008] A Survey of Shape Feature Extraction Techniques
[1999 ICCV] Object recognition from local scale-invariant features
[2000 IJCV] Evaluation of Interest Point Detectors
[2003 CVIU] Speeded-Up Robust Features (SURF)
[2004 CVPR] PCA-SIFT A More Distinctive Representation for Local Image Descriptors
[2004 IJCV] Distinctive Image Features from Scale-Invariant Keypoints
[2010 IJCV] Improving Bag-of-Features for Large Scale Image Search
[2011 PAMI] SIFTflow Dense Correspondence across Scenes and its Applications
[2002 PAMI] Simultaneous Localization and Map-Building Using Active Vision
[2007 PAMI] MonoSLAM Real-Time Single Camera SLAM
[1973] Textural features for image classification
[1979 ] Statistical and structural approaches to texture
[1996 PAMI] Texture features for browsing and retrieval of image data
[2002 PR] Brief review of invariant texture analysis methods
[2012 TIP] Color Local Texture Features for Color Face Recognition
[2009] Online learning of robust object detectors during unstable tracking
[2010 CVPR] P-N Learning Bootstrapping Binary Classifiers by Structural Constraints
[2010 ICIP] FACE-TLD TRACKING-LEARNING-DETECTION APPLIED TO FACES
[2012 PAMI] Tracking-Learning-Detection
[2000 CMU TR] A System for Video Surveillance and Monitoring
[2000 PAMI] W4-- real-time surveillance of people and their activities
[2008 MVA] The evolution of video surveillance an overview
[2001 CVPR] Rapid object detection using a boosted cascade of simple features
[2004 IJCV] Robust Real-time Face Detection
文章總數:372
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1994年: 7
1993年: 5
1992年: 11
1991年: 5
1990年: 6
1980-1989: 22
1960-1979: 9