Pixar

USA As Represented by Secretary of the Navy

Justin M Solomon

Michael Kass

Rick Sayre

Mark Alan Livingston

Methods and systems of representation and manipulation of surfaces with perceptual geometric features, using a computer graphics rendering system, include executing algorithmic instructions to compute a plurality of vertices, edges and surfaces in a mesh for the purpose of defining representations of surfaces on grids. Normals and distances are determined for triangular surfaces to be considered. Additionally, height fields of a function are defined. A set of feature curves and a set of feature points are determined, based on the defined function. Infinitesimal movements along the representations of the surfaces are determined, along with determinations of properties of representations of continuous surfaces. Additional determinations of perceptual geometric features include determinations such as zero crossings, parabolic curves, flecnodes, ruffles, gutterpoints, conical points and biflecnodes in a given mesh. After these determinations are made, visual representations are rendered which capture perceptually important features for smoothly varying shapes.

Methods and systems of comparing face models for recognition

Local histogram and local histogram-based functions can be determined by generating offset-kernel images based on domain-shifted tonal filter kernels. The offset-kernel images can be reused for multiple image locations and/or local neighborhood sizes, shapes, and weights. A neighborhood filter representing the desired local neighborhood size, shape, and frequency domain characteristics is applied to each of the offset-kernel images. Neighborhood filters may include a temporal dimension for evaluating neighborhoods in space and time. Neighborhood filtered offset-kernel images' values represent samples of local histogram or local histogram-based function corresponding with the domains of their associated domain-shifted tonal filter kernels. Arbitrary functions may be used as tonal filter kernels. A histogram kernel may be used to sample values of local histogram functions. A tonal filter kernel that is a derivative or integral of another tonal filter kernel may be used to sample a derivative or integral, respectively, of a function.

Smoothed local histogram filters for computer graphics

Local histogram-based filters may create non-photorealistic computer graphics effects. An edge-preserving smoothing filter processes a source image to generate a smoothed image. An orientation filter processes the source image to generate a smoothed orientation image. At least one of the orientation filter and the edge-preserving smoothing filter include a local histogram-based filter. The non-photorealistic effect filter may generate a fine detail image from the smoothed image and the source image. The fine detail image may be diffused according to the smoothed orientation image to generate a brush stroke image. The brush stroke image is combined with a base image to create a non-photorealistic image. Local histogram-based filters include a closest mode, a local median, and a dominant mode filter. Local histogram-based filters are determined by convolving a neighborhood filter with one or more offset-kernel images, each based on the application of a shifted tonal filter kernel to the source image.

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Oakton, VA, United States of America

Justin M Solomon