Francesco Isgrò

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The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we discuss here is a version of the SVD-matching proposed by Scott and Longuet-Higgins and later modified by Pilu, that we elaborate in order to cope with large scale variations. To this end we add to the(More)
This paper presents a fast and extremely robust feature-based method for planar registration of partly overlapping images; it uses a two-stage robust fitting approach comprising a fast estimation of a transformation hypothesis (that we show is highly likely to be correct) followed by a confirmation and refinement stage. The method is particularly suited for(More)
This paper investigates the removal of line scratches from old niovies and gives a twofold contribution. First, it presents simple technique for detecting the scratches, based on an analysis of the statistics of the grey levels. Second, the scratches removal is approached as an optiniisation problem , which is solved by using a genetic algorithm. The method(More)
This paper investigates the removal of line scratches from old movies and gives a twofold contribution. First, it presents simple technique for detecting the scratches, based on an analysis of the statistics of the grey levels. Second, the scratches removal is approached as an optimisation problem , and it is solved by using a genetic algorithm. The method(More)
We address the application of computer vision to semi-immersive teleconferencing, and present a prototype vision system synthesising a physically plausible video of a speaker to be displayed at a remote conferencing station. The main system components are a hierarchical, efficient large-baseline disparity estimation and a view synthesis module. We(More)