Abstract: A method of filling occluded areas of a depth or disparity map estimated from at least two images and consisting of a matrix of pixels forming a set of lines and columns, each pixel of the map being associated with a depth or disparity value (pixel value) and any pixel of an occluded area (invalid pixel) being associated with a pixel value identifiable as being invalid. This method comprises a step of processing each line of the map pixel by pixel in a predefined direction and assigning each invalid pixel Pi encountered on a current line a value determined as a function of the values associated with the pixels in a predefined vicinity around the first valid pixel P1, if any, that follows the invalid pixel Pi on the current line and the value V(P1) of which corresponds to a greater depth or a lesser disparity relative to the value V(P0) of the last valid pixel P0, if any, that precedes the invalid pixel Pi on the current line.

Abstract: A method of filling occluded areas of a depth or disparity map estimated from at least two images and consisting of a matrix of pixels forming a set of lines and columns, each pixel of the map being associated with a depth or disparity value (pixel value) and any pixel of an occluded area (invalid pixel) being associated with a pixel value identifiable as being invalid. This method comprises a step of processing each line of the map pixel by pixel in a predefined direction and assigning each invalid pixel Pi encountered on a current line a value determined as a function of the values associated with the pixels in a predefined vicinity around the first valid pixel P1, if any, that follows the invalid pixel Pi on the current line and the value V(P1) of which corresponds to a greater depth or a lesser disparity relative to the value V(P0) of the last valid pixel P0, if any, that precedes the invalid pixel Pi on the current line.

Abstract: The disclosure relates to a method of representing a sequence of pictures which are grouped into sets comprising at least two successive pictures, known as groups of pictures (GOP), whereby a textured, meshed three-dimensional model is associated with each of said GOPs. In an embodiment, the three-dimensional model associated with the n level GOP is represented with an irregular mesh taking account of at least one vertex of at least the irregular mesh representing the three-dimensional model that is associated with the n?1 level GOP, said vertex being known as the common vertex.