Abstract: A method is provided for extracting information of interest from a measurement signal having a periodic interference pattern, which includes steps (i) of generating a filtering function representing the frequency components of the interference pattern, by implementing an analysis of an amplitude spectrum of the measurement signal based on morphological criteria, (ii) of applying the filtering function to the measurement signal so as to generate an interference signal constituted essentially by the interference pattern, and (iii) of calculating a filtered signal by carrying out a difference between the measurement signal and the interference signal. The invention also relates to a device implementing the method.

Abstract: A method for following an object in a sequence of at least two images, termed previous and current, comprises a step of forming a first set Ep of points E p={Pp(1), . . . , Pp(i), . . . , Pp(N)} by extracting N characteristic points Pp(i) of the object present in the previous image and of forming a second set Ec of points Ec={Pc(1), . . . , Pc(i), . . . , Pc(M)} by extracting M characteristic points Pc(j) of the object present in the current image. The method further comprises a step of estimating the parameters of a model of movement of the object between the two images on the basis of pairs of matched points thus formed, and a step of selecting the pairs of matched points used to estimate the parameters of the movement model. The pairs of matched points may be selected solely from among those which are related to points of the first set of points which are singular.

Abstract: The present invention relates to a method for following an object in a sequence of at least two images termed previous and current. The said method comprises a step for forming a first set Ep of points Ep={Pp(1), . . . , Pp(i), . . . , Pp(N)} by extracting N characteristic points Pp(i) of the object present in the previous image and for forming a second set Ec of points Ec={Pc(1), . . . , Pc(i), . . . , Pc(M)} by extracting M characteristic points Pc(j) of the object present in the current image, a step for estimating the parameters of a model of movement of the object between the two images on the basis of pairs of matched points thus formed, and a step of selecting the pairs of matched points used to estimate the parameters of the movement model, in the course of which said pairs of matched points are selected solely from among those which are related to points of the first set of points which are singular, each point of the first set of points being a singular point.