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Mark Seminatore Phones & Addresses

  • Sammamish, WA
  • 24523 34Th St, Issaquah, WA 98029 (425) 392-0256
  • 3850 Klahanie Blvd, Issaquah, WA 98029 (425) 392-0256
  • Ballston Spa, NY
  • Clifton Park, NY
  • Kiona, WA
  • 24523 SE 34Th Pl, Issaquah, WA 98029

Work

Position: Food Preparation and Serving Related Occupations

Resumes

Resumes

Mark Seminatore Photo 1

Development Manager At Microsoft

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Location:
Greater Seattle Area
Industry:
Computer Games
Mark Seminatore Photo 2

Mark Seminatore

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Mark Seminatore
M&E CONSULTING ENTERPRISES LTD
256 Revere Dr, Ballston Spa, NY 12020

Publications

Us Patents

Computer Animation System And Method

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US Patent:
20030193503, Oct 16, 2003
Filed:
Apr 10, 2002
Appl. No.:
10/120967
Inventors:
Mark Seminatore - Issaquah WA, US
Casey Anderson - Tukwila WA, US
Jason Piel - Redmond WA, US
John Piel - Duvall WA, US
Michael Dougherty - Seattle WA, US
Julian Love - Seattle WA, US
International Classification:
G06T015/70
US Classification:
345/473000
Abstract:
A computer animation system, method, game, device, and storage medium are provided. The method typically includes providing a two-dimensional map of an animated object, in which the two-dimensional map includes rendering information. The method typically further includes rendering an animated object by applying, in real time, portions of a skin texture to the two dimensional map based on the rendering information. The method may be used for real-time computer game animation. The rendering information may be encoded as color values, which are transmitted by color channels.

Machine Learning Gesture Detection

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US Patent:
20130077820, Mar 28, 2013
Filed:
Sep 26, 2011
Appl. No.:
13/245640
Inventors:
Charles Claudius Marais - Duvall WA, US
Zsolt Mathe - Redmond WA, US
Mark Seminatore - Issaquah WA, US
Ivan Nevraev - Reading, GB
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06K 9/62
US Classification:
382103
Abstract:
A virtual skeleton includes a plurality of joints and provides a machine readable representation of a human subject observed with a sensor such as a depth camera. A gesture detection module is trained via machine learning to identify one or more features of a virtual skeleton and indicate if the feature(s) collectively indicate a particular gesture.
Mark David Seminatore from Sammamish, WA, age ~57 Get Report