BIBLIOGRAFIA

Important Links

Text Books Journals/Conferences Images Papers Programs Other Links

Text books:

· Computer Vision – A modern approach , by D. Forsyth and J. Ponce, 2003.

· Computer Vision - A modern approach (draft version) , by D. Forsyth and J. Ponce, 2003

· Computer Vision (draft version), by L. G. Shapiro and G. Stockman, Prentice Hall. 2001.

Leading Journals and Conferences in Computer Vision:

· International Journal of Computer Vision (IJCV)

· Pattern Analysis and Machine Intelligence (PAMI)

· IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)

· International Conference on Computer Vision (ICCV)

Image databases:

· Middlebury Stereo Datasets: stereo

· Middlebury multi-view data set

· CVLab Multiview data set

· FOM data set

· TINA: stereo, temporal, assorted images

· SIPI Image Database: textures, aerials, miscellaneous, sequences

· CMU VASC Image Database: Images, sequences, stereo pairs (thousands of images)

· University of Massachusetts Vision Image Archive: Large image database with aerial, space, stereo, medical images

· INRIA Syntim Stereogram database

· Bay, H., Ess, A, Tuytelaars, T., Van Gool, L. "SURF: Speeded Up Robust Features", Computer Vision and Image Understanding (CVIU), v. 110, n. 3, pp. 346-359, 2008.

· Brown, M., Szeliski, R., Winder, S. “Multi-image matching using multi-scale oriented patches” Conf. on Computer Vision and Pattern Recognition - CVPR 2005, v. 1, pp. 510-517, 2005.

· Förstner, W. and Gülch, E. “A fast operator for detection and precise location of distinct points, corners and circular features” Intercommission Conf. on Fast Processing of Photogrammetric Data, pp. 281-305, 1987.

· Fusiello, A., Irsara, L., “Quasi-euclidean Uncalibrated Epipolar Rectification” International Conference on Pattern Recognition (ICPR), 2008.

· Fusiello, A., Trucco, E., Verri, A., “A compact algorithm for rectification of stereo pairs”. Machine Vision and Applications, 12(1):16-22, 2000.

· Gordon, I., Lowe, D.G. “Scene Modelling, Recognition and Tracking with Invariant Image Features” (a power point presentation related to the paper above)

· Gordon, I., . Lowe, D.G. "What and where: 3D object recognition with accurate pose," in Toward Category-Level Object Recognition, eds. J. Ponce, M. Hebert, C. Schmid, and A. Zisserman, (Springer-Verlag, 2006), pp. 67-82.

· Harris, C., Stephens, M. “A combined corner and edge detector”, in Fourth Alvey Vision Conference, Manchester, UK, pp. 147-151, 1988.

· Lowe, D.G. "Distinctive image features from scale-invariant keypoints" International Journal of Computer Vision, v. 60, n. 2, pp. 91-110, 2004.

· Mikolajczyk , K. , Schmid, C. “A Performance Evaluation of Local Descriptors” IEEE Transactions Pattern Analysis and Machine Intelligence, v. 27, n. 10, pp. 1615-1630, 2005.

· Mikolajczyk, K.; Schmid, C. “Indexing based on scale invariant interest points”, Proceedings Eighth IEEE International Conference on Computer Vision - ICCV 2001., v. 1, pp.525 - 531, 2001.

· Muhamad, S. and Hebert, M. (2000), “Iterative Projective Reconstruction from Multiple Views”, Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. II, 430-437, 2000.

· Rothganger, F., Lazebnik, S., Schmid, C., Ponce, J. "Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects”, PAMI 2007.

· Smith, S.M., Brady, J.M., “SUSAN – a new approach to low level image processing” Journal of Computer Vision, v.23, n.1, pp. 45-78, 1997.

· Tola, E. , Lepetit, V., l Fua, P. “DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo” IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 32, n. 5, pp. 814-830, 2010.

· Tomasi, C., Kanade, T., “Detection and Tracking of Point Features”, Technical Report CMU-CS-91-132, 1991.

· Tomasi, C., Kanade, T., “Shape and motion from image streams under orthography: A factorization method”, IJCV, 9(2):137-154, November 1992.

PROGRAMs IN MATLAB:

· Calibrated 3D Reconstruction, by Feitosa, R.Q.

· Calibrated Rectification by Fusiello, A., Trucc, E., Verri, A. (adapted , by Feitosa, R.Q.)

· Calibrated Rectification by Fusiello, A., Trucco, E., Verri, A.

· Camera Calibration from Vanishing Points, by Feitosa, R.Q.

· Camera Calibration, by Feitosa, R.Q.

· DAISY: An Efficient Dense Descriptor Applied for Wide Baseline Stereo - C++ version – MATLAB Use – MATLAB Version

· Demo of Least Square for Circle fitting, by Feitosa, R.Q.

· EM Color Segmentation , by Feitosa, R.Q.

· Functions for projective SFM (test version)

· Fundamental Matrix Estimation, by Feitosa, R.Q.

· Harris and KLT corner detector , by Feitosa, R.Q.

· OpenSURF for MATLAB

· Region Growing + Cross Correlation for Dense Matching, by Feitosa, R.Q.

· Segmentation by Color Clustering , by Feitosa, R.Q.

· SIFT Key Point Detector by David Lowe

· Snake demo, by Feitosa, R.Q.

· Uncalibrated Rectification by Fusiello, A., Irsara, L.

Some other Links:

· Computer Vision Home Page

· Laboratorio de Visão Computacional LVC/PUC-Rio

· Text Book Authors Home Page

· Annotated Computer Vision Bibliography

· Open Source Computer Vision Library

· Camera Calibration Toolbox for MATLAB

· Epipolar Rectification by A. Fusiello, E. Trucco and A. Verri

· MATLAB Central

· Iryna Gordon and David G. Lowe, “Scene Modelling, Recognition and Tracking with Invariant Image Features” (project webpage)