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（Gradients, Edges and Corners）
• 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）
  • 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））
  • カメラキャリブレーション（Camera Calibration）
  • 姿勢推定（Pose Estimation）
  • エピポーラ幾何（Epipolar Geometry）
• 参考文献

参考文献

この参考文献一覧は，OpenCVを利用する人々にとって役立つかもしれない発表物のリストである． このリストはすべてを網羅しているわけではなく，文献を調べる最初の一歩を助けるものである．

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.
10. [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.
11. [Ford98] Adrian Ford, Alan Roberts. Colour Space Conversions. http://www.poynton.com/PDFs/coloureq.pdf
12. [Horn81] Berthold K.P. Horn and Brian G. Schunck. Determining Optical Flow. Artificial Intelligence, 17, pp. 185-203, 1981.
13. [Hu62] M. Hu. Visual Pattern Recognition by Moment Invariants, IRE Transactions on Information Theory, 8:2, pp. 179-187, 1962.
14. [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
15. [Jahne97] B. Jahne. Digital Image Processing. Springer, New York, 1997.
16. [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.
17. [Kass88] M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active Contour Models, International Journal of Computer Vision, pp. 321-331, 1988.
18. [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
19. [Matas98] J.Matas, C.Galambos, J.Kittler. Progressive Probabilistic Hough Transform. British Machine Vision Conference, 1998.
20. [Meyer92] Meyer, F. (1992). Color image segmentation. In Proceedings of the International Conference on Image Processing and its Applications, pages 303--306.
21. [Rosenfeld73] A. Rosenfeld and E. Johnston. Angle Detection on Digital Curves. IEEE Trans. Computers, 22:875-878, 1973.
22. [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.
23. [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.
24. [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
25. [Serra82] J. Serra. Image Analysis and Mathematical Morphology. Academic Press, 1982.
26. [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.
27. [Suzuki85] S. Suzuki, K. Abe. Topological Structural Analysis of Digital Binary Images by Border Following. CVGIP, v.30, n.1. 1985, pp. 32-46.
28. [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.
29. [Telea04] A. Telea, "An image inpainting technique based on the fast marching method," J. Graphics Tools, vol.9, no.1, pp.25–36, 2004.
    
30. [Trucco98] Emanuele Trucco, Alessandro Verri. Introductory Techniques for 3-D Computer Vision. Prentice Hall, Inc., 1998.
31. [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/
32. [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
33. [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.
34. [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
35. [Yuille89] A.Y.Yuille, D.S.Cohen, and P.W.Hallinan. Feature Extraction from Faces Using Deformable Templates in CVPR, pp. 104-109, 1989.
36. [Zhang96] Z. Zhang. Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting, Image and Vision Computing Journal, 1996.
37. [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.
38. [Zhang00] Z. Zhang. A Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330-1334, 2000.