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: Method, system and computer program for efficiently extracting and describing scale-space interest points. It is designed towards low overall computational complexity. On one hand, the data acquired during extraction in the description phase is intensively re-used. On the other hand, an algorithmic optimization of the description that dramatically speeds up the process, is proposed. First, the image is filtered with triangle kernel at different scales. The triangle filtered images are reused for extraction of the keypoints dominant orientation and the computation of the DAISY-like descriptor.

Abstract: A moving 2D image is made up of a series of still images referred to as current frame (K), previous frame (K-1) and so on. The method generates depth maps that allow converting 2D images to 3D. To do so, the method comprises a first step in which a pyramid of scaled versions of the current frame and the previous frame are generated, a second step in which the optical flow between the current and previous pyramids is calculated, a third step in which the image-point-oriented depth map is calculated, a fourth step in which image segments in the current frame are generated, a fifth step in which the segment-oriented depth map focused on said segments is calculated, obtaining a segment-oriented depth map, and a sixth step in which the segment-oriented maps relating to the current and previous frames are integrated, obtaining the final map for the current frame.

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: Method, system and computer program for efficiently extracting and describing scale-space interest points designed towards low overall computational complexity. On one hand, the data acquired during extraction in the description phase is intensively re-used. On the other hand, an algorithmic optimization of the description that dramatically speeds up the process, is proposed. First, the image is filtered with triangle kernel at different scales. The triangle filtered images are reused for extraction of the keypoints dominant orientation and the computation of the DAISY-like descriptor.

Abstract: Method, system and computer program for efficiently extracting and describing scale-space interest points. It is designed towards low overall computational complexity. On one hand, the data acquired during extraction in the description phase is intensively re-used. On the other hand, an algorithmic optimization of the description that dramatically speeds up the process, is proposed. First, the image is filtered with triangle kernel at different scales.

Abstract: This patent addresses the problem of performing fast non-uniform filtering. This invention covers a form of expressing a signal with the novel Symmetric Weighted Integral Images (SWII) and a method to filter the signal with diverse kernels with a shape defined by the SWII and an arbitrary size. The main advantage of the method is that it drastically reduces the computation time.