2007 to 2000 Chiropractor/Business Consultant/Personal CoachCity Chiropractic, Inc. Seattle, WA Aug 1998 to May 2008 Entrepreneur/Business Owner/Chiropractor
Education:
Life Chiropractic College West Hayward, CA 1995 to 1998 Doctor of Chiropractic in Clinical ExcellenceWestern Washington University Bellingham, WA 1990 to 1995 Bachelor of Science in Biochemistry and Human Biology
Skills:
Management Consulting Business Development Account Management Market Analysis & Plan Development High Functioning Team Management Results-Oriented Leadership
Jun 2004 to 2000 Engineering TechnicianPLURIS, INCORPORATE Cupertino, CA Aug 2000 to Jun 2004 Engineering TechnicianDIVICOM INC Milpitas, CA Nov 1997 to Aug 2000 Engineering TechnicianEDGE EMITTER TECHNOLOGY, INC Fremont, CA Mar 1992 to Nov 1997 Test Technician
Education:
Electrocomp Institute San Jose, CA Jun 2000 to Dec 2000 Basic ElectronicsDe Anza College Cupertino, CA Apr 1983 to Aug 1985 A.SSan Jose Sate University San Jose, CA B.S in Computer Science
Margaret Motamed - Foster City CA Minh Vo - Santa Clara CA
Assignee:
Electronics for Imaging, Inc. - Foster City CA
International Classification:
G06F 1500
US Classification:
358 118, 358 112, 358 115, 358 11, 358296, 345751
Abstract:
A method and apparatus which configures a printer for printing ordered stock by using a template. The template has various parameters which the user inputs. Examples of input parameters involve the printing of tabs. A user inputs tab parameters such as the number of positions, text offset per tab, tab media size, text rotation, document reading order, tray source, tab font size, tab font type, tab sheet location and tab text. Templates can be saved and repeatedly used. A user can save and create new templates or edit previously created templates.
- Redmond WA, US Sudipta Narayan Sinha - Redmond WA, US Minh Phuoc Vo - Pittsburgh PA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond
International Classification:
G06T 7/536 G06T 7/00 G06T 7/73 G06T 5/00
Abstract:
Examples of the present disclosure describe systems and methods for scene reconstruction from bursts of image data. In an example, an image capture device may gather information from multiple positions within the scene. At each position, a burst of image data may be captured, such that other images within the burst may be used to identify common image features, anchor points, and geometry, in order to generate a scene reconstruction as observed from the position. Thus, as a result of capturing bursts from multiple positions in a scene, multiple burst reconstructions may be generated. Each burst may be oriented within the scene by identifying a key frame for each burst and using common image features and anchor points among the key frames to determine a camera position for each key frame. The burst reconstructions may then be combined into a unified reconstruction, thereby generating a high-quality reconstruction of the scene.