CV リファレンス マニュアル

画像処理（Image Processing）
• 勾配，エッジ，コーナー，特徴（Gradients, Edges, Corners and Features）
• サンプリング，補間，幾何変換（Sampling, Interpolation and Geometrical Transforms）
• モルフォロジー演算（Morphological Operations）
• フィルタと色変換（Filters and Color Conversion）
• ピラミッドとその応用（Pyramids and the Applications）
• 画像分割，領域結合，輪郭検出（Image Segmentation, Connected Components and Contour Retrieval）
• 画像と形状のモーメント（Image and Contour Moments）
• 特殊な画像変換（Special Image Transforms）
• ヒストグラム（Histograms）
• マッチング（Matching）
• 構造解析（Structural Analysis）
  • 輪郭処理（Contour Processing）
  • 計算幾何（Computational Geometry）
  • 平面細分割（Planar Subdivisions）
• モーション解析と物体追跡（Motion Analysis and Object Tracking）
  • 背景統計量の累積（Accumulation of Background Statistics）
  • モーションテンプレート（Motion Templates）
  • 物体追跡（Object Tracking）
  • オプティカルフロー（Optical Flow）
  • 特徴マッチング（Feature Matching）
  • 推定器（Estimators）
• パターン認識（Pattern Recognition）
  • 物体検出（Object Detection）
• カメラキャリブレーションと3次元再構成（Camera Calibration and 3D Reconstruction）
  • （ピンホールカメラモデル, 歪み（Pinhole Camera Model, Distortion））
  • シングルおよびステレオカメラキャリブレーション（Single and Stereo Camera Calibration）
  • 姿勢推定（Pose Estimation）
  • エピポーラ幾何，ステレオマッチング（Epipolar Geometry, Stereo Correspondence）
• 参考文献

参考文献

この参考文献一覧は，OpenCV ユーザにとって役立つであろう出版物のリストである．このリストは完全なものではなく，文献調査のキッカケとなるものにすぎない．

1. [Bay06] Herbert Bay, Tinne Tuytelaars and Luc Van Gool "SURF: Speeded Up Robust Features", Proceedings of the 9th European Conference on Computer Vision, Springer LNCS volume 3951, part 1, pp 404--417, 2006.
2. [Beis97] J.S. Beis and D.G. Lowe, "Shape indexing using approximate nearest-neighbor search in highdimensional spaces". In Proc. IEEE Conf. Comp. Vision Patt. Recog., pages 1000--1006, 1997.
3. [Borgefors86] Gunilla Borgefors, "Distance Transformations in Digital Images". Computer Vision, Graphics and Image Processing 34, 344-371 (1986).
4. [Bouguet00] Jean-Yves Bouguet. Pyramidal Implementation of the Lucas Kanade Feature Tracker.
   The paper is included into OpenCV distribution (algo_tracking.pdf)
5. [Bouguet04] Jean-Yves Bouguet. The Camera Calibration Toolbox for Matlab. http://www.vision.caltech.edu/bouguetj/calib_doc/
6. [Bradski98] G.R. Bradski. Computer vision face tracking as a component of a perceptual user interface. In Workshop on Applications of Computer Vision, pages 214–219, Princeton, NJ, Oct. 1998.
   Updated version can be found at http://www.intel.com/technology/itj/q21998/articles/art_2.htm.
   Also, it is included into OpenCV distribution (camshift.pdf)
7. [Bradski00] G. Bradski and J. Davis. Motion Segmentation and Pose Recognition with Motion History Gradients. IEEE WACV'00, 2000.
8. [Burt81] P. J. Burt, T. H. Hong, A. Rosenfeld. Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation. IEEE Tran. On SMC, Vol. 11, N.12, 1981, pp. 802-809.
9. [Canny86] J. Canny. A Computational Approach to Edge Detection, IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(6), pp. 679-698 (1986).
10. [Davis97] J. Davis and Bobick. The Representation and Recognition of Action Using Temporal Templates. MIT Media Lab Technical Report 402, 1997.
11. [DeMenthon92] Daniel F. DeMenthon and Larry S. Davis. Model-Based Object Pose in 25 Lines of Code. In Proceedings of ECCV '92, pp. 335-343, 1992.
12. [Felzenszwalb04] Pedro F. Felzenszwalb and Daniel P. Huttenlocher. Distance Transforms of Sampled Functions. Cornell Computing and Information Science TR2004-1963.
13. [Fitzgibbon95] Andrew W. Fitzgibbon, R.B.Fisher. A Buyer’s Guide to Conic Fitting. Proc.5th British Machine Vision Conference, Birmingham, pp. 513-522, 1995.
14. [Ford98] Adrian Ford, Alan Roberts. Colour Space Conversions. http://www.poynton.com/PDFs/coloureq.pdf
15. [Hartley99] Richard I. Hartley. Theory and practice of projective rectification. Int J Computer Vision 35(2): 1–16
16. [Horn81] Berthold K.P. Horn and Brian G. Schunck. Determining Optical Flow. Artificial Intelligence, 17, pp. 185-203, 1981.
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18. [Iivarinen97] Jukka Iivarinen, Markus Peura, Jaakko Srel, and Ari Visa. Comparison of Combined Shape Descriptors for Irregular Objects, 8th British Machine Vision Conference, BMVC'97.
    http://www.cis.hut.fi/research/IA/paper/publications/bmvc97/bmvc97.html
19. [Jahne97] B. Jahne. Digital Image Processing. Springer, New York, 1997.
20. [Lucas81] Lucas, B., and Kanade, T. An Iterative Image Registration Technique with an Application to Stereo Vision, Proc. of 7th International Joint Conference on Artificial Intelligence (IJCAI), pp. 674-679.
21. [Kass88] M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active Contour Models, International Journal of Computer Vision, pp. 321-331, 1988.
22. [Kolmogorov03]V. Kolmogorov. Graph Based Algorithms for Scene Reconstruction from Two or More Views. PhD thesis, Cornell University, September 2003.
23. [Lienhart02] Rainer Lienhart and Jochen Maydt. An Extended Set of Haar-like Features for Rapid Object Detection. IEEE ICIP 2002, Vol. 1, pp. 900-903, Sep. 2002.
    This paper, as well as the extended technical report, can be retrieved at http://www.lienhart.de/Publications/publications.html
24. [Matas98] J.Matas, C.Galambos, J.Kittler. Progressive Probabilistic Hough Transform. British Machine Vision Conference, 1998.
25. [Meyer92] Meyer, F. (1992). Color image segmentation. In Proceedings of the International Conference on Image Processing and its Applications, pages 303--306.
26. [Rosenfeld73] A. Rosenfeld and E. Johnston. Angle Detection on Digital Curves. IEEE Trans. Computers, 22:875-878, 1973.
27. [RubnerJan98] Y. Rubner. C. Tomasi, L.J. Guibas. Metrics for Distributions with Applications to Image Databases. Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India, January 1998, pp. 59-66.
28. [RubnerSept98] Y. Rubner. C. Tomasi, L.J. Guibas. The Earth Mover’s Distance as a Metric for Image Retrieval. Technical Report STAN-CS-TN-98-86, Department of Computer Science, Stanford University, September 1998.
29. [RubnerOct98] Y. Rubner. C. Tomasi. Texture Metrics. Proceeding of the IEEE International Conference on Systems, Man, and Cybernetics, San-Diego, CA, October 1998, pp. 4601-4607. http://robotics.stanford.edu/~rubner/publications.html
30. [Serra82] J. Serra. Image Analysis and Mathematical Morphology. Academic Press, 1982.
31. [Schiele00] Bernt Schiele and James L. Crowley. Recognition without Correspondence Using Multidimensional Receptive Field Histograms. In International Journal of Computer Vision 36 (1), pp. 31-50, January 2000.
32. [Suzuki85] S. Suzuki, K. Abe. Topological Structural Analysis of Digital Binary Images by Border Following. CVGIP, v.30, n.1. 1985, pp. 32-46.
33. [Teh89] C.H. Teh, R.T. Chin. On the Detection of Dominant Points on Digital Curves. - IEEE Tr. PAMI, 1989, v.11, No.8, p. 859-872.
34. [Telea04] A. Telea, "An image inpainting technique based on the fast marching method," J. Graphics Tools, vol.9, no.1, pp.25–36, 2004.
    
35. [Trucco98] Emanuele Trucco, Alessandro Verri. Introductory Techniques for 3-D Computer Vision. Prentice Hall, Inc., 1998.
36. [Viola01] Paul Viola and Michael J. Jones. Rapid Object Detection using a Boosted Cascade of Simple Features. IEEE CVPR, 2001.
    The paper is available online at http://www.ai.mit.edu/people/viola/
37. [Welch95] Greg Welch, Gary Bishop. An Introduction To the Kalman Filter. Technical Report TR95-041, University of North Carolina at Chapel Hill, 1995.
    Online version is available at http://www.cs.unc.edu/~welch/kalman/kalmanIntro.html
38. [Williams92] D. J. Williams and M. Shah. A Fast Algorithm for Active Contours and Curvature Estimation. CVGIP: Image Understanding, Vol. 55, No. 1, pp. 14-26, Jan., 1992. http://www.cs.ucf.edu/~vision/papers/shah/92/WIS92A.pdf.
39. [Yuen03] H.K. Yuen, J. Princen, J. Illingworth and J. Kittler. Comparative study of Hough Transform methods for circle finding.
    http://www.sciencedirect.com/science/article/B6V09-48TCV4N-5Y/2/91f551d124777f7a4cf7b18325235673
40. [Yuille89] A.Y.Yuille, D.S.Cohen, and P.W.Hallinan. Feature Extraction from Faces Using Deformable Templates in CVPR, pp. 104-109, 1989.
41. [Zhang96] Z. Zhang. Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting, Image and Vision Computing Journal, 1996.
42. [Zhang99] Z. Zhang. Flexible Camera Calibration By Viewing a Plane From Unknown Orientations. International Conference on Computer Vision (ICCV'99), Corfu, Greece, pages 666-673, September 1999.
43. [Zhang00] Z. Zhang. A Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330-1334, 2000.

1. [Borgefors86] Gunilla Borgefors, "Distance Transformations in Digital Images". Computer Vision, Graphics and Image Processing 34, 344-371 (1986).
2. [Bouguet00] Jean-Yves Bouguet. Pyramidal Implementation of the Lucas Kanade Feature Tracker.
   The paper is included into OpenCV distribution (algo_tracking.pdf)
3. [Bradski98] G.R. Bradski. Computer vision face tracking as a component of a perceptual user interface. In Workshop on Applications of Computer Vision, pages 214–219, Princeton, NJ, Oct. 1998.
   Updated version can be found at http://www.intel.com/technology/itj/q21998/articles/art_2.htm.
   Also, it is included into OpenCV distribution (camshift.pdf)
4. [Bradski00] G. Bradski and J. Davis. Motion Segmentation and Pose Recognition with Motion History Gradients. IEEE WACV'00, 2000.
5. [Burt81] P. J. Burt, T. H. Hong, A. Rosenfeld. Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation. IEEE Tran. On SMC, Vol. 11, N.12, 1981, pp. 802-809.
6. [Canny86] J. Canny. A Computational Approach to Edge Detection, IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(6), pp. 679-698 (1986).
7. [Davis97] J. Davis and Bobick. The Representation and Recognition of Action Using Temporal Templates. MIT Media Lab Technical Report 402, 1997.
8. [DeMenthon92] Daniel F. DeMenthon and Larry S. Davis. Model-Based Object Pose in 25 Lines of Code. In Proceedings of ECCV '92, pp. 335-343, 1992.
9. [Felzenszwalb04] Pedro F. Felzenszwalb and Daniel P. Huttenlocher. Distance Transforms of Sampled Functions. Cornell Computing and Information Science TR2004-1963.