Fast construction of panoramic images for cystoscopic exploration

References 

1. Tyczynski J, Parkin D. Bladder cancer in Europe, ENCR Cancer Fact Sheets. European Network of Cancer Registries. International Agency for Research on Cancer 3.
2. Chopin DK, Gattengo B. Résumé du rapport 2001 de l’association française d’urologie (AFU) sur les tumeurs superficielles de la vessie; 2001.
3. Holzbeierlein J, Lopez-Corona E, Bochner B, Herr H, Donat S, Russo P, et al. Partial cystectomy: a contemporary review of the memorial sloan-kettering cancer center experience and recommendations for patient selection. Journal of Urology. 2004;172(3):878–881
4. Blondel W, Daul C, Villette S, Miranda-Luna R, Hernandez-Mier Y, Bourg-Heckly G, et al. Autofluorescence endoscopic spectro-imaging and 2D-cartography for in situ localisation and diagnosis of cancerous lesions. Traitement du signal. 2005;23:213–233
5. Brown M, Lowe DG. Recognising panoramas. p. 1218–27 In: Proceedings of the 9th IEEE international conference on computer vision (ICCV2003), vol. 2. 2003;
6. Baudisch P, Tan D, Steedly D, Rudolph E, Uyttendaele M, Pal C, et al. Panoramic viewfinder: providing a real-time preview to help users avoid flaws in panoramic pictures. p. 1–10 In: OZCHI ‘05: proceedings of the 19th conference of the computer–human interaction special interest group (CHISIG) of Australia on computer–human interaction. 2005;
7. Steedly D, Pal C, Szeliski R. Efficiently registering video into panoramic mosaics. p. 15–21 In: Proceedings of the IEEE international conference on computer vision (ICCV 2005). 2005;
8. Litvin A, Konrad J, Karl WC. Probabilistic video stabilization using kalman filtering and mosaicking. p. 663–74 In: Proceedings of the IS&T/SPIE symposium on electronic imaging, image and video, vol. 5022. 2003;
9. Matsushita Y, Ofek E, Tang X, Shum H. Full-frame video stabilization. p. 50–7 In: Proceedings of 2005 IEEE international conference on computer vision and pattern recognition (CVPR), vol. 1. 2005;
10. Szeliski R. Video mosaics for virtual environments. IEEE Computer Graphics and Applications. 1996;16(2):22–30
    • CrossRef
11. Szeliski R, Shum H. Creating full view panoramic image mosaics and environment maps. p. 251-58 In: SIGGRAPH ‘97: Proceedings of the 24th annual conference on computer graphics and interactive techniques, vol. 31. 1997;
12. Douze M. Estimation d‘homographies inter-images. cas des mosaïques et du suivi en temps réel. applications en réalité augmentée, Ph.D. thesis, Institut National Polytechnique de Toulouse; 2004.
13. Rzhanov Y, Huff L, Cutter R. Seafloor video mapping: modeling, algorithms, apparatus. p. 4 In: Proceedings of the international conference on image processing (ICIP2002). 2002;
14. Gracias N, Negahdaripour S. Underwater mosaic creation using video sequences from different altitudes. p. 1234–40 In: Proceedings of the MTS/IEEE OCEANS‘05, vol. 1. 2005;
15. Zomet A, Peleg S. Efficient super-resolution and applications to mosaics. p. 579–83 In: Proceedings of the 15th international conference on pattern recognition (ICPR‘00), vol. 1. 2000;
16. Capel DP. Image mosaicing and super-resolution, Ph.D. thesis, Robotics Research Group. Department of Engineering Science. University of Oxford; 2001.
17. Capel D, Zisserman A. Computer vision applied to super-resolution. IEEE Signal Processing Magazine. 2003;20(3):75–86
18. Gee AH, Treece GM, Prager RW, Cash C, Berman L. Rapid registration for wide field-of-view freehand three-dimensional ultrasound. IEEE Transactions on Medical Imaging. 2003;22(11):1344–1357
    • MEDLINE
    • CrossRef
19. Yaniv Z, Joskowicz L. Long bone panoramas from fluoroscopic X-ray images. IEEE Transactions on Medical Imaging. 2004;23(1):26–35
    • MEDLINE
    • CrossRef
20. Zhou Y, Wan M, Xue H. A tunable incremental factor augmented inverse image alignment method in fundus angiogram registration and mosaicing. Computerized Medical Imaging and Graphics. 2004;28:219–224
21. Zhou Y, Xue H, Wan M. Inverse image alignment method for image mosaicing and video stabilization in fundus indocyanine green angiography under confocal scanning laser ophthalmoscope. Computerized Medical Imaging and Graphics. 2003;27:513–523
22. Baker S, Gross R, Matthews I, Ishikawa T. Lucas-Kanade 20 years on: a unifying framework: Part 2, Tech. Re CMU-RI-TR-03-01, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA (Février 2003).
23. Baker S, Matthews I. Lucas-Kanade 20 years on: a unifying framework: Part 1, Tech. Re CMU-RI-TR-02-16, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA; July 2002.
24. Baker S, Matthews I, Xiao J, Gross R, Ishikawa T, Kanade T. Real-time non-rigid driver head tracking for driver mental state estimation, Tech. Re CMU-RI-TR-04-10, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA; October 2004.
25. Can A, Stewart CV, Roysam B, Tanenbaum HL. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002;24(3):347–364
    • CrossRef
26. Miranda-Luna R, Daul C, Blondel W, Hernandez-Mier Y, Wolf D, Guillemin F. Mosaicing of bladder endoscopic image sequences: distortion calibration and registration algorithm. IEEE Transactions on Biomedical Engineering. 2008;55(2):541–553
    • CrossRef
27. Miranda Luna R. Contribution au mosaïquage d‘images endoscopiques d‘organes creux pour l‘aide au diagnostic du cancer en phase précoce, Ph.D. thesis, Institut National Polytechnique de Lorraine (2005).
28. Vovk U, Pernus F, Likar B. A review of methods for correction of intensity inhomogeneity in mri. IEEE Transactions on Medical Imaging. 2007;26(3):405–421
    • MEDLINE
    • CrossRef
29. Leong F, Brady M, McGee J. Correction of uneven illumination (vignetting) in digital microscopy images. Journal of Clinical Pathology. 2003;56:619–621
    • MEDLINE
    • CrossRef
30. Miranda-Luna R, Hernandez-Mier Y, Daul C, Blondel W, Wolf D. Mosaicing of medical video-endoscopic images: data quality improvement and algorithm testing. p. 530–5 In: IEEE Proceedings of the 1st international conference on electrical and electronics engineering, 2004 (ICEEE). 2004;
31. Miranda-Luna R, Blondel W, Daul C, Hernandez-Mier Y, Posada R, Wolf D. A simplified method of endoscopic image distortion correction based on grey level registration. p. 3383–6 In: IEEE proceedings of the 2004 international conference on image processing (ICIP ‘04), vol. 5. 2004;
32. Pirrone EAR, Gambino O. Illumination correction on mr images. Journal of Clinical Monitoring and Computing. 2006;20:391–398
    • CrossRef
33. Winter C, Rupp S, Elter M, Münzenmayer C, Gerhäuser H, Wittenberg T. Technique of distortion correction in endoscopic images using a polynomial expansion. IEEE Transactions on Biomedical Engineering. 2006;53(10):2035–2046
    • MEDLINE
    • CrossRef
34. Ng KC, Ishiguro H, Trivedi M, Sogo T. An integrated surveillance system-human tracking and view synthesis using multiple omni-directional vision sensors. Image and Vision Computing. 2004;22(7):551–561
35. Lucas BD, Kanade T. An iterative image registration technique with an application to stereo vision (darpa). p. 121–30 In: Proceedings of the 1981 DARPA image understanding workshop. 1981;
36. Shum H, Szeliski R. Panoramic image mosaics, Tech. Re MSR-TR-97-23, Microsoft Research, Microsoft Corporation, Redmond, WA 98052; December 1997.
37. Shum H, Szeliski R. Construction of panoramic image mosaics with global and local alignment. International Journal of Computer Vision. 2000;16(1):63–84
38. Kuglin CD, Hines DC. The phase correlation image alignment method. p. 163–5 In: Proceedings of the 1975 IEEE international conference cybernetics society. 1975;