Abstract: The process comprises the following steps: calculating, for an image, a depth map corresponding to the depth, in the three-dimensional space, of image pixels; calculating, for an image, a resolution map corresponding to the three-dimensional resolution of the image pixels, based on the depth map; matching a current image pixel with a pixel of another image of the sequence, pixels relating to a common point in the three-dimensional scene, by projecting the current image pixel onto the other image; selecting a current image pixel according to its resolution and to that of the pixels of the sequence matched with this said pixel; constructing the three-dimensional model from the selected pixels. One application concerns the generation of images for browsing.

Abstract: A process for modeling a 3D scene is provided which comprises validating the model by determining a maximum permitted distortion (5) on a 2D synthesized image (4), generated by the approximation inherent in the model (2); calculating for a point I of a reference image (7) and on a set of synthesized images (4) representing the 3D point of the scene corresponding to this point I, of the minimum (zi??zi1) and maximum (zi+?zi2) depth values of the depth zi of this point I corresponding to this maximum distortion, calculating a span around the depth zi of this point I, dependant on the minimum value of the error ?zi2 and on the minimum value of the error ?zi1 among the values calculated for the synthesized images of the set.

Abstract: The process is characterized in that it comprises, for validating the model, the following steps:

Abstract: A method to estimate light sources in a common support space comprising at least one visual data set associated with at least one support space having a position, a dimension and a size. The position of the light sources is determined according to the position, the dimension and the size of the individual support space and the color distribution is determined according to the visual data set.