S. Salbiah, A. Somaya, H. Arof, Z. S. Saleh, and F. , Ibrahim A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio International Journal of Imaging Systems and Technology archive, pp.166-171, 2012.

G. Bradski and A. Kaehler, Learning OpenCV. Book published by O'Reilly Media, Inc, 2008.

E. Dubrofsky, Homography Estimation, Master's thesis, TheUniversity of British Columbia, 2009.

R. Szeliski and M. Research, Image Alignment and Stitching: A Tutorial, Foundations and Trends?? in Computer Graphics and Vision, vol.2, issue.1, pp.1-104, 2006.
DOI : 10.1561/0600000009

S. A. Winder and M. Brown, Learning Local Image Descriptors, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.382971

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.686.3515

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

M. Ozuysal, P. Fua, and V. Lepetit, Fast Keypoint Recognition in Ten Lines of Code, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383123

A. L. Martins, N. D. Mascarenhas, and C. A. Suazo, Spatio-Temporal Resolution Enhancement of Vocal Tract MRI Sequences Based on Image Registration, Integrated Computer-Aided Engineering, vol.18, issue.2, pp.143-156, 2011.

M. Brown and D. G. Lowe, Automatic Panoramic Image Stitching using Invariant Features, International Journal of Computer Vision, vol.50, issue.1, pp.59-73, 2007.
DOI : 10.1007/s11263-006-0002-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.193.2527

K. Mikolajczyk and C. Schmid, Indexing based on scale invariant interest points, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.525-531, 2001.
DOI : 10.1109/ICCV.2001.937561

URL : https://hal.archives-ouvertes.fr/inria-00548276

T. Lindeberg, Feature detection with automatic scale selection, International Journal of Computer Vision, vol.30, issue.2, pp.79-116, 1998.
DOI : 10.1023/A:1008045108935

P. A. Viola and M. J. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.511-518, 2001.
DOI : 10.1109/CVPR.2001.990517

P. Simard, L. Bottou, P. Ha_ner, and Y. Lecun, Boxlets: A fast convolution algorithm for signal processing and neural networks, NIPS'98, pp.571-577, 1998.

H. Bay, A. Ess, T. Tuytelaars, and L. Van-gool, Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding, vol.110, issue.3, pp.346-359, 2008.
DOI : 10.1016/j.cviu.2007.09.014

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.738

J. Morel and G. Yu, ASIFT: a new framework for fully affine invariant image comparison, Intern. Int. IEEE Conf, pp.1597-1600, 2009.

J. Aupet, N. Elmarzouqi, E. Garcia, and J. Lapayre, Virtual awareness card for adaptability in collaborative virtual environments, IEEE SETIT 2009, pp.228-234, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00563297

J. Aupet, R. Kassab, and J. Lapayre, WAVA: A New Web Service for Automatic Video Data Flow Adaptation in Heterogeneous Collaborative Environments, CDVE2009, pp.280-288, 2009.
DOI : 10.1109/TBC.2008.2001720

URL : https://hal.archives-ouvertes.fr/hal-00563302