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Driskill

David S. Driskill, Greenville, SC US

Patent application numberDescriptionPublished
20110200420WAREHOUSE DYNAMIC PICKING SLOTS - Inventory management methods are provided. In one embodiment, an inventory management method includes receiving an indication of a received product. Available spaces in a warehouse picking area that can store the received product are determined. The received product is stored to one of the spaces, and the space is later reused to store a different product. In another embodiment, a plurality of available spaces for storing a product in a warehouse picking area is determined. The plurality of available spaces includes spaces that have different shapes. An indication of the available spaces and their locations in the warehouse picking area is provided.08-18-2011

Henry Allen Driskill, Burbank, CA US

Patent application numberDescriptionPublished
20090033662MULTIPLE ARTISTIC LOOK RENDERING METHODS AND APPARATUS - A computer system comprises a memory configured to store a geometric description of an object, wherein the memory is configured to store a first set of parameters associated with a first artistic look, and wherein the memory is configured to store a second set of parameters associated with a second artistic look, and a processor coupled to the memory, wherein the processor is configured to determine a first set of rendered data in response to the first set of parameters and to the geometric description of the object, wherein the processor is configured to determine a second set of rendered data in response to the second set of parameters and to the geometric description of the object, and wherein the processor is configured to determine a visual representation for the object in response to the first set of rendered data and in response to the second set of rendered data.02-05-2009

Henry Allen Driskill, Valencia, CA US

Patent application numberDescriptionPublished
20090033663Surface shading of computer-generated object using multiple surfaces - Objects are modeled and rendered using multiple surfaces to provide attributes used in rendering. In some embodiments, a reference surface for an object is defined, e.g., using conventional modeling techniques. One or more auxiliary surfaces are associated with portions of the reference surface. Some of the surface attributes (e.g., color, surface normal, texture, lighting) are associated with the reference surface, while other attributes (e.g., transparency) are associated with the cards. To render an image, a ray associated with a pixel is traced to its intersection with the reference surface and to its intersection with one of the auxiliary surfaces. The attributes associated with the reference surface are determined based on the intersection point of the ray with the reference surface, and the attributes associated with the auxiliary surface are determined based on the intersection point of the ray with the auxiliary surface.02-05-2009
20090033674Method and apparatus for graphically defining surface normal maps - A surface normal map of an object can be interactively modified to create brushstroke-like textures. In one embodiment, surface normal components along the x, y, and z axes (in object coordinate space) are mapped onto red, green, and blue color components. The object's surface is displayed in an editing interface (e.g., a painting program) with colors indicating the surface normals. The user can then modify the surface normals to achieve a desired look for the object. The modified surface normals are stored with the object-model data and are used in rendering the object, helping to create a painted appearance.02-05-2009

Robert Driskill, Greenfield, MN US

Patent application numberDescriptionPublished
20100332408Method and System for High Performance Model-Based Personalization - The present invention relates to a method and system for generating client preference recommendations in a high performance computing regime. Accordingly, one embodiment of the present invention comprises: providing a sparse ratings matrix, forming a plurality of data structures representing the sparse ratings matrix, forming a runtime recommendation model from the plurality of data structures, determining a recommendation from the runtime recommendation model in response to a request from a user, and providing the recommendation to the user.12-30-2010