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Doug R Roble

from Redwood City, CA
Age ~62
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Also known as:
Doug Shands Deborah Roble, Douglas R Roble, Douglas Raymond Roble
Related to:
Douglas RobleDeborah Shands, 60
Connected to:
Danielle L Roble, 33Diana A Roble, 31Georgia M Roble, 96Glenn Roble, 67Joyce E Roble, 82Kristin M Roble, 43Pedro M Roble, 62Rolando Roble, 57Ronald M Roble, 59Rosemarie C Roble, 47

Doug Roble Phones & Addresses

  • Redwood City, CA
  • 10906 Kelmore St, Culver City, CA 90230 (310) 837-3976
  • Los Angeles, CA
  • Columbus, OH

Work

Company: Digital domain 2002 Position: Creative director of software

Education

School / High School: The Ohio State University 1985 to 1992

Skills

Computer Graphics • Visual Effects • Maya • Nuke • Mel • Camera • Computer Games • Software Design • Video Editing • Shell Scripting • Apache

Industries

Entertainment

Resumes

Resumes

Doug Roble Photo 1

Doug Roble

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Location:
Los Angeles, CA
Industry:
Entertainment
Work:
Digital Domain since 2002
Creative Director of Software
journal of graphics tools Apr 2006 - Aug 2011
Editor-In-Chief
Digital Domain 1993 - 2002
Software Engineer
Education:
The Ohio State University 1985 - 1992
University of Colorado at Boulder 1980 - 1984
Skills:
Computer Graphics
Visual Effects
Maya
Nuke
Mel
Camera
Computer Games
Software Design
Video Editing
Shell Scripting
Apache

Business Records

Name / Title
Company / Classification
Phones & Addresses
Doug Roble
CTO
DIGITAL DOMAIN
Motion Picture/Video Production · Motion Picture and Video Production · Radiotelephone Communication · Motion Picture & Video Production
300 Rose Ave, Venice, CA 90291
Attn General Counsel 300 Rose Ave, Venice, CA 90291
(310) 314-2080, (310) 314-2800, (310) 314-2990, (310) 314-2985

Publications

Us Patents

Method And System For Scattered Spherical Harmonic Approximation

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US Patent:
20090027390, Jan 29, 2009
Filed:
Jul 21, 2008
Appl. No.:
12/177098
Inventors:
Nafees Bin Zafar - Venice CA, US
Doug Roble - Venice CA, US
International Classification:
G06T 15/50
US Classification:
345426
Abstract:
A scattered spherical harmonic (SH) approximation method is proposed for pre-computation of SH coefficients at sampling vertices of an object to be rendered. The approach sparsely populates the object with a plurality of SH sampling vertices and uses the least squares approximation to calculate the SH coefficients at any (other) arbitrary point of the object by extrapolating from the computed SH coefficients at the SH sampling vertices.

Fitting Curves From One Model To Another

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US Patent:
20090040218, Feb 12, 2009
Filed:
Jul 24, 2008
Appl. No.:
12/179507
Inventors:
Ken Museth - Venice CA, US
Doug Roble - Venice CA, US
Mattias Bergbom - Venice CA, US
International Classification:
G06T 17/00
US Classification:
345420
Abstract:
A method and system for variational and iterative fitting of complex curves (such as Super Helix curves) to arbitrary regular parametric curves is described, called a curve fitting system. The curve fitting system uses data reduction and error-analysis often found in mesh decimation schemes as well as non-linear minimization. The curve fitting system takes full advantage of the large body of existing work on parametric curve modeling, while utilizing new and beneficial curve models for simulation.

System And Method Of Image Zooming With Intensity Preservation

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US Patent:
20090041387, Feb 12, 2009
Filed:
Jan 17, 2008
Appl. No.:
12/009377
Inventors:
Doug Roble - Culver City CA, US
Nafees Bin Zafar - Santa Monica CA, US
International Classification:
G06K 9/32
US Classification:
382299
Abstract:
Systems and methods image zooming with intensity preservation is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of minimizing energy levels over a set of high-resolution image pixels of a high-resolution image via total variational filtering to obtain the high-resolution image from at least a portion of a low-resolution image; the low-resolution image having a first energy level, the high resolution image having a second energy level, and the first energy level to be substantially similar in value as the second energy level. One embodiment can include, determining a pixel value of a particular high-resolution image pixel based on the pixel values of a plurality of pixels of the at least a portion of the low-resolution image and the pixel values of the high-resolution image pixels not including the particular high-resolution image pixel.
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Doug R Roble from Redwood City, CA, age ~62 Get Report