Myron L. Nack - Los Alamitos CA Thomas O. Ellis - Playa Del Rey CA Norton L. Moise - Pacific Palisades CA Andrew Rosman - Los Alamitos CA Robert J. McMillen - Long Beach CA Chao Yang - Cerritos CA Gary N. Landis - Hermosa Beach CA
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
G06F 1516 G06F 1566
US Classification:
395163
Abstract:
A system using a ray-tracing algorithm and a hierarchy of volume elements (called voxels) to process only the visible surfaces in a field of view. In this arrangement, a dense, three-dimensional voxel data base is developed from the objects, their shadows and other features recorded, for example, in two-dimensional aerial photography. The rays are grouped into subimages and the subimages are executed as parallel tasks on a multiple instruction stream and multiple data stream computer (MIMD). The use of a three-dimensional voxel data base formed by combining three-dimensional digital terrain elevation data with two-dimensional plan view and oblique view aerial photography permits the development of a realistic and cost-effective data base. Hidden surfaces are not processed. By processing only visible surfaces, displays can now be produced depicting the nap-of-the-earth as seen in low flight of aircraft or as viewed from ground vehicles.
Method For Managing Namespaces In A Storage Device And Storage Device Employing The Same
A provided a storage device configured to support a number of namespaces. The storage device includes a memory and a controller coupled to the memory. The controller includes a host interface layer and a flash translation layer configured to report to the host interface layer a first over-provisioning chunk from an over-provisioning pool and a first chunk separate from the over-provisioning pool. The controller is configured to receive a command at the host interface layer to utilize a portion of the memory for a first namespace from among the number of namespaces and the first namespace includes an unaligned chunk. The controller is configured to utilize the first over-provisioning chunk as the unaligned chunk of the first namespace. A number of over-provisioning chunks to be utilized as unaligned chunks is less than the number of namespaces.
Image Hole Filling That Accounts For Global Structure And Local Texture
- San Jose CA, US Xin LU - Mountain View CA, US Chao YANG - Los Angeles CA, US
International Classification:
G06T 5/00 G06K 9/46 G06T 7/40 G06K 9/62 G06K 9/66
Abstract:
Image hole filling that account for global structure and local texture. One exemplary technique involves using both a content neural network and a texture neural network. The content neural network is trained to encode image features based on non-hole image portions and decode the image features to fill holes. The texture neural network is trained to extract image patch features that represent texture. The exemplary technique receives an input image that has a hole and uses the two neural networks to fill the hole and provide a result image. This is accomplished by selecting pixel values for the hole based on a content constraint that uses the content neural network to account for global structure and a texture constraint that uses the texture neural network to account for local texture. For example, the pixel values can be selected by optimizing a loss function that implements the constraints.
UC Irvine Irvine, CA Jun 2013 to Oct 2013 Graduate Research AssistantHK Baptist University HK, HK 2011 to 2012 Student Research Assistant
Education:
University of California Irvine, CA 2012 to 2014 MS in Electrical Engineering and Computer ScienceHong Kong Baptist University 2008 to 2012 BS in Applied Physics