Abstract: A method and a system for three-dimensionally reconstructing a non-rigid body based on a multi-depth-map are provided. The method comprises: obtaining a plurality of depth maps by shooting the non-rigid body in different postures and from different angles; transforming each depth map to one group of three-dimensional point clouds and obtaining a plurality of matching point pairs among a plurality of groups of three-dimensional point clouds; conducting a position transformation for each matching point and obtaining a transformation parameter corresponding to the each matching point after the position transformation; mosaicing all transformation parameters to obtain a mosaicing result and constructing an energy function according to the mosaicing result; and solving the energy function to obtain a solution result and reconstructing a three-dimensional model of the non-rigid body according to the solution result.

Abstract: Embodiments relate to automatic rendering of images according to a painting style. A procedural painting system, controlled by one or more parameters is used. Classifiers are trained using machine learning to return a score related to how well an image fits a given painting style. Parameters of the procedural painting system are optimized to maximize the score returned by the classifiers, and an output image is rendered.

Abstract: Embodiments relate to automatic rendering of images according to a painting style. A procedural painting system, controlled by one or more parameters is used. Classifiers are trained using machine learning to return a score related to how well an image fits a given painting style. Parameters of the procedural painting system are optimized to maximize the score returned by the classifiers, and an output image is rendered.

Abstract: A method and a system for three-dimensionally reconstructing a non-rigid body based on a multi-depth-map are provided. The method comprises: obtaining a plurality of depth maps by shooting the non-rigid body in different postures and from different angles; transforming each depth map to one group of three-dimensional point clouds and obtaining a plurality of matching point pairs among a plurality of groups of three-dimensional point clouds; conducting a position transformation for each matching point and obtaining a transformation parameter corresponding to the each matching point after the position transformation; mosaicing all transformation parameters to obtain a mosaicing result and constructing an energy function according to the mosaicing result; and solving the energy function to obtain a solution result and reconstructing a three-dimensional model of the non-rigid body according to the solution result.