Abstract: The present invention relates to a Method to determine the depth of a scene (I) from at least one digital image (R, T) of said scene (I), comprising the following steps: A. acquiring said at least one digital image (R, T) of said scene (I); B. calculating a first disparity map (DM1) from said at least one digital image (R, T), wherein said first disparity map (DM1) consists of a matrix of pixels pij with i=1, . . . , M and j=1, . . . , N, where i and j indicate respectively the line and column index of said first disparity map (DM1), and M and N are positive integers; C. calculating a second disparity map (DM2), by a neural network, from said at least one digital image (R, T); D. selecting a plurality of sparse depth data Sij relative to the respective pixel pij of said first disparity map (DM1); E. extracting said plurality of sparse depth data S ii from said first disparity map (DM1); and F.

Abstract: A method for determining the depth from digital images (R, T) relating to scenes (I), comprising the following steps: A. acquiring at least one digital image (R, T) of a scene (I); B. acquiring sparse depth values (Sij) of said scene (I) relating to one or more of said pixels (pij) of said digital image (R, T); C. generating meta-data related to each pixel (pij) of said digital image (R, T) acquired in said step A correlated with the depth to be estimated of said image (I); D. modifying said meta-data generated in said step C, relating to each pixel (pij) of said digital image; and E. optimizing said meta-data modified in said step D, so as to obtain a map representative of the depth of said digital image (R, T) for determining the depth of said digital image (R, T) itself.