Abstract: A method for generating a model of a flat object from views taken by at least two calibrated cameras, which is capable of generating two-dimensional and volumetric representations of the object, where the representations can be a depth map, a volumetric representation or a mesh representation, method including the following basic steps: calibrating at least two cameras, calculating several 3D coordinates of at least three points belonging to the same plane of the flat object, calculating the equation of the plane of the flat object, selecting at least one region representing the surface of the flat object, in at least one view provided by at least one camera, and calculating the intersection between the selected region representing the surface of the object and the equation of the plane.

Abstract: A method for generating a model of a flat object from views taken by at least two calibrated cameras, which is capable of generating two-dimensional and volumetric representations of the object, where the representations can be a depth map, a volumetric representation or a mesh representation, method including the following basic steps: calibrating at least two cameras, calculating several 3D coordinates of at least three points belonging to the same plane of the flat object, calculating the equation of the plane of the flat object, selecting at least one region representing the surface of the flat object, in at least one view provided by at least one camera, and calculating the intersection between the selected region representing the surface of the object and the equation of the plane.

Abstract: A non-transitory computer readable storage medium includes a computer-readable code for executing a method of video playback, capable of displaying a video file in a three-dimensional environment (2) from any perspective, by projecting two-dimensional frames (1) of the video file on said environment (2), according to a position and perspective assigned to the frame (1).

Abstract: A segmentation operation is applied to an input image to identify foreground objects of interest, and then a shadow removal operation is applied to remove any detected shadows from the foreground segmentation. The shadow removal algorithms can leave holes and bisections in the segmentation map, however, which will then subsequently impact on an object detection step performed using connected component analysis. To get around this problem, a conditional morphological dilation operation is applied to the segmentation map to ‘grow’ the segmented blobs to fill in any holes and bisections, without re-growing shadow pixels in the segmentation. The result is an object detection method and system which is robust to illumination changes causing shadows and/or highlights.

Abstract: The invention applies a segmentation operation to an input image to identify foreground objects of interest, and then applies a shadow removal operation to remove any detected shadows from the foreground segmentation. The shadow removal algorithms can leave holes and bisections in the segmentation map, however, which will then subsequently impact on an object detection step performed using connected component analysis. To get around this problem, the invention applies a conditional morphological dilation operation to the segmentation map to ‘grow’ the segmented blobs to fill in any holes and bisections, without re-growing shadow pixels in the segmentation. The result is an object detection method and system which is robust to illumination changes causing shadows and/or highlights.