Company Filing History:
Years Active: 2003-2007
Title: The Innovative Contributions of Andrew J. Lavin
Introduction
Andrew J. Lavin is a notable inventor based in Palo Alto, CA. He has made significant contributions to the field of technology, particularly in the area of image processing and texture mapping. With a total of 4 patents to his name, Lavin's work showcases his innovative approach to solving complex problems in his field.
Latest Patents
One of Lavin's latest patents is titled "Polygonal curvature mapping to increase texture efficiency." This invention involves generating a texture projection from multiple initial polygonal curved surfaces. Each of these surfaces is divided into second-generation polygonal curved surfaces, which are further divided into third-generation surfaces. This method enhances texture projection efficiency by ensuring that each facet maps to a spherical area, making it more effective than traditional methods.
Another significant patent is "Partial image decompression of a tiled image." This invention features a decompression unit designed to partially decompress a compressed image made up of tiles. The unit selects a subset of relevant tiles visible in a view window, thereby reducing the processing time needed to generate the contents of that view. This innovation streamlines the image processing workflow, making it more efficient.
Career Highlights
Throughout his career, Andrew J. Lavin has worked with several companies, including Enroute, Inc. and Be Here Corporation. His experience in these organizations has contributed to his development as an inventor and has provided him with valuable insights into the industry.
Collaborations
Lavin has collaborated with various professionals in his field, including Roy Tadashi Hashimoto. These collaborations have likely enriched his work and led to further innovations.
Conclusion
Andrew J. Lavin's contributions to technology through his patents and career experiences highlight his role as an influential inventor. His innovative approaches to texture mapping and image decompression continue to impact the field positively.