Abstract: A device (D) is dedicated to the processing of data constituting initial tensor images, each tensor being a real symmetric and positive definite matrix representing an elementary part of a received tensor image. This device (D) comprises, on the one hand, a first calculating module (MC1) capable of performing a first selected, bijective and defined function of R*+ in R, and being associated with a selected metric definition, this first function allowing a second reciprocal function, and on the other, comprises a first processing module (MT1) provided for: i) constituting a first representation of a received tensor image; ii) calling the first calculating module (MC1) for applying the first function to a selected part of the first representation whereby obtaining a transformed part, and; iii) constituting, from the transformed part, a second representation of the tensor images ready to be processed.

Abstract: A device (D) is dedicated to the processing of data constituting initial tensor images, each tensor being a real symmetric and positive definite matrix representing an elementary part of a received tensor image. This device (D) comprises, on the one hand, a first calculating module (MCI) capable of performing a first selected, bijective and defined function of R*+ in R, and being associated with a selected metric definition, this first function allowing a second reciprocal function, and on the other, comprises a first processing module (MT1) provided for: i) constituting a first representation of a received tensor image; ii) calling the first calculating module (MC1) for applying the first function to a selected part of the first representation whereby obtaining a transformed part, and; iii) constituting, from the transformed part, a second representation of the tensor images ready to be processed.

Abstract: The method produces three dimensional cartographic data of a scene from n two-dimensional images of the scene, n being an integer higher than 2. The images are delivered by n respective detectors seeing the scene from different points of view. In a first step, each detector i is calibrated for estimating parameters identifying n affine models Fi (x, y, z) each defining a relation between coordinates x, y, z of any point in the scene and coordinates (p, q)i of a projection of said any point in an image i among said n images. Each of (n−1) couples of images, (each couple consisting of a same reference image selected among said n images) is matched, each match being made by searching an homolog of each of pixels or zones constituting the reference image along a corresponding epipolar line of the other image of the couple.