This research is invested on image matching methods, and their applications. It is divided into two parts: methodological and engineering. The first tackles decision methods used to match features between images. We found it on the “stable marriage” paradigm. Several algorithms are developed with constraints added, as global satisfaction or equity, for better adapting to [...]
N. Suvonvorn, F. Le Coat, B. Zavidovique, (2007), Marrying level-line junctions for obstacle detection, In Proceedings of IEEE International Conference on Image Processing (ICIP), September 16-19, 2007, San Antonio, Texas, USA, p.305-308. ISBN: 1-4244-1437-7.
N. Suvonvorn and B. Zavidovique, (2006), EFLAM : A model to level-line junction extraction, In Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP), February 25 – 28, 2006, INSTICC, Setubal, Portugal, p. 257-264
N. Suvonvorn, S. Bouchafa and B. Zavidovique, (2005), Marrying level lines for stereo or motion, In Proceedings of International Conference on Image Analysis and Recognition (ICIAR), September 28-30, 2005, Toronto, Canada, p. 391-398.