Abstract: A method and system for surfacing of particle systems is proposed to achieve high surface resolutions and low execution times, comprising partitioning particles into sub-blocks, each sub-block associated linear data arrays, sequentially accessing each array to composite the particles into a respective sub-volume using estimates of grid stencils derived from particle kernels, performing random-access into the sub-volumes, processing each linear array, and lexicographically pushing the corresponding sub-volume into a DT-Grid to convert the sub-volume to a narrow band level set. Further steps to improve the temporal coherence of resulting surface, to reduce artifacts from sparsely sampled regions of space, to enhance artistic expression, and for flexible post processing can be performed.

Abstract: Systems and methods image zooming with intensity preservation is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of minimizing energy levels over a set of high-resolution image pixels of a high-resolution image via total variational filtering to obtain the high-resolution image from at least a portion of a low-resolution image; the low-resolution image having a first energy level, the high resolution image having a second energy level, and the first energy level to be substantially similar in value as the second energy level. One embodiment can include, determining a pixel value of a particular high-resolution image pixel based on the pixel values of a plurality of pixels of the at least a portion of the low-resolution image and the pixel values of the high-resolution image pixels not including the particular high-resolution image pixel.

Abstract: A method and system for removing head motion from facial motion capture data. The method includes receiving a set of measured points of a target model, wherein each point is associated with coordinates in a 3D space. The method includes computing an optimal affine transformation function. The computing includes selecting an unprocessed point from the set of measured points. The computing includes selecting two nearby neighboring points of the unprocessed point. The computing includes computing an affine transformation function that minimizes an L2-norm error. The computing includes identifying the optimal affine transformation function from a set of computed affine transformation functions. The method includes displaying an aligned target model and reference model utilizing the optimal affine transformation function. The method includes outputting the optimal affine function to a computer-readable storage medium.