参考文献

[1]　Herbert Bay, Tinne Tuytelaars, and Luc Van Gool. SURF: Speeded up robust features. In European Conference on Computer Vision, 2006.

[2]　Yuri Boykov, Olga Veksler, and Ramin Zabih. Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23:2001, 2001.

[3]　Gary Bradski and Adrian Kaehler. Learning OpenCV. O'Reilly Media Inc., 2008.

[4]　Martin Byroöd. An optical Sudoku solver. In Swedish Symposium on Image Analysis, SSBA. http://www.maths.lth.se/matematiklth/personal/byrod/papers/sudokuocr.pdf, 2007.

[5]　Antonin Chambolle. Total variation minimization and a class of binary mrf models. In Energy Minimization Methods in Computer Vision and Pattern Recognition, Lecture Notes in Computer Science, pages 136–152. Springer Berlin / Heidelberg, 2005.

[6]　T. Chan and L. Vese. Active contours without edges. IEEE Trans. Image Processing, 10(2):266–277, 2001.

[7]　Chih-Chung Chang and Chih-Jen Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.

[8]　D. Cremers, T. Pock, K. Kolev, and A. Chambolle. Convex relaxation techniques for segmentation, stereo and multiview reconstruction. In Advances in Markov Random Fields for Vision and Image Processing. MIT Press, 2011.

[9]　Nello Cristianini and John Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, 2000.

[10]　Gunnar Farneba¨ck. Twoframe motion estimation based on polynomial expansion. In Proceedings of the 13th Scandinavian Conference on Image Analysis, pages 363–370, 2003.

[11]　M. A. Fischler and R. C. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications-of-the-ACM, 24(6):381–95, 1981.

[12]　C. Harris and M. Stephens. A combined corner and edge detector. In Proceedings Alvey Conference, pages 189–192, 1988.

[13]　R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, ISBN: 0521540518, second edition, 2004.

[14]　Richard Hartley. In defense of the eight-point algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19:580–593, 1997.

[15]　Berthold K. P. Horn and Brian G. Schunck. Determining optical flow. Artifical Intelligence, 17:185–203, 1981.

[16]　Vladimir Kolmogorov and Ramin Zabih. What energy functions can be minimized via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26:65–81, 2004.

[17]　David G. Lowe. Object recognition from local scale-invariant features. In International Conference on Computer Vision, pages 1150–1157, 1999.

[18]　David G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91–110, 2004.

[19]　Bruce D. Lucas and Takeo Kanade. An iterative image registration technique with an application to stereo vision, pages 674–679, 1981.

[20]　Mark Lutz. Learning Python. O'Reilly Media Inc., 2009.

[21]　Will McGugan. Beginning Game Development with Python and Pygame. Apress, 2007.

[22]　F. Meyer. Color image segmentation. In Proceedings of the 4th Conference on Image Processing and its Applications, pages 302–306, 1992.

[23]　D. Nisteér and H. Steweénius. Scalable recognition with a vocabulary tree. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 2161–2168, 2006.

[24]　Travis E. Oliphant. Guide to NumPy. http://www.tramy.us/numpybook.pdf, 2006.

[25]　M. Pollefeys, L. Van Gool, M. Vergauwen, F. Verbiest, K. Cornelis, J. Tops, and R. Koch. Visual modeling with a hand-held camera. International Journal of Computer Vision, 59(3):207–232, 2004.

[26]　Marc Pollefeys. Visual 3d modeling from images—tutorial notes. Technical report, University of North Carolina–Chapel Hill. http://www.cs.unc.edu/%7Emarc/tutorial.pdf_

[27]　Carsten Rother, Vladimir Kolmogorov, and Andrew Blake. Grabcut: Interactive foreground extraction using iterated graph cuts. ACM Transactions on Graphics, 23: 309–314, 2004.

[28]　L. I. Rudin, S. J. Osher, and E. Fatemi. Nonlinear total variation based noise removal algorithms. Physica D, 60:259–268, 1992.

[29]　Daniel Scharstein and Richard Szeliski. A taxonomy and evaluation of dense twoframe stereo correspondence algorithms. International Journal of Computer Vision, 2001.

[30]　Daniel Scharstein and Richard Szeliski. High-accuracy stereo depth maps using structured light. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003.

[31]　Toby Segaran. Programming Collective Intelligence. O'Reilly Media, 2007.

[32]　Jianbo Shi and Jitendra Malik. Normalized cuts and image segmentation. IEEE Trans. Pattern Anal. Mach. Intell., 22:888–905, August 2000.

[33]　Jianbo Shi and Carlo Tomasi. Good features to track. In 1994 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'94), pages 593–600, 1994.

[34]　Noah Snavely, Steven M. Seitz, and Richard Szeliski. Photo tourism: Exploring photo collections in 3d. In SIGGRAPH Conference Proceedings, pages 835–846. ACM Press, 2006.

[35]　Bill Triggs, Philip F. McLauchlan, Richard I. Hartley, and Andrew W. Fitzgibbon. Bundle adjustment - a modern synthesis. In Proceedings of the International Workshop on Vision Algorithms: Theory and Practice, ICCV '99, pages 298–372. Springer-Verlag, 2000.

[36]　A. Vedaldi and B. Fulkerson. VLFeat: An open and portable library of computer vision algorithms. http://www.vlfeat.org/, 2008.

[37]　Deepak Verma and Marina Meila. A comparison of spectral clustering algorithms. Technical report, 2003.

[38]　Luminita A. Vese and Tony F. Chan. A multiphase level set framework for image segmentation using the mumford and shah model. International Journal of Computer Vision, 50:271–293, December 2002.

[39]　Paul Viola and Michael Jones. Robust real-time object detection. In International Journal of Computer Vision, 2001.

[40]　Marco Zuliani. Ransac for dummies. Technical report, Vision Research Lab, UCSB, 2011.