Abstract: A computer-implemented method of smoothing a transition between two mesh sequences to be rendered successively comprises steps of: (a) providing first and second mesh sequences {1} and {2} formed mesh frames, respectively, to be fused into a fused sequence; (b) selecting mesh frames gn and gm being candidates for fusing therebetween; calculating geometric rigid and/or non-rigid transformations of candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; applying calculated geometric rigid and/or non-rigid transformations to candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; calculating textural transformations of said candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; and applying calculated textural transformation to said candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}.

Abstract: A computer-implemented method of smoothing a transition between two mesh sequences to be rendered successively comprises steps of: (a) providing first and second mesh sequences {1} and {2} formed mesh frames, respectively, to be fused into a fused sequence; (b) selecting mesh frames gn and gm being candidates for fusing therebetween; calculating geometric rigid and/or non-rigid transformations of candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; applying calculated geometric rigid and/or non-rigid transformations to candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; calculating textural transformations of said candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}; and applying calculated textural transformation to said candidate frames gn and gm belonging to said first and second mesh sequences {1} and {2}.

Abstract: Systems and methods are provided for recognizing characters within a distorted image. According to a one aspect, a method for recognizing one or more characters within a distorted image includes rendering one or more imitation images, the imitation images including simulations of the distorted image, applying one or more distortion models to the imitation images, thereby generating distorted imitation images, comparing the distorted imitation images with the distorted image in order to compute similarities between the distorted imitation images and the distorted image, and identifying the characters based on the best similarity. According to other aspects, the systems and methods can be configured to provide recognition of other distorted data types and elements.

Abstract: Systems and methods are provided for recognizing characters within a distorted image. According to a one aspect, a method for recognizing one or more characters within a distorted image includes rendering one or more imitation images, the imitation images including simulations of the distorted image, applying one or more distortion models to the imitation images, thereby generating distorted imitation images, comparing the distorted imitation images with the distorted image in order to compute similarities between the distorted imitation images and the distorted image, and identifying the characters based on the best similarity. According to other aspects, the systems and methods can be configured to provide recognition of other distorted data types and elements.