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Carsten S Stoll

from San Francisco, CA
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Also known as:
Carsten Sebastian Stoll, Carsten M Stoll
Connected to:
Anna F Stoll, 87Annalisa E Stoll, 28Ashiana M Stoll, 32Beatrice A Stoll, 81Celine K Stoll, 30Darlene M Stoll, 67Debera A Stoll, 68Estie R Stoll, 79Hadayia J Stoll, 51Hannah Stoll, 42

Carsten Stoll Phones & Addresses

  • San Francisco, CA

Resumes

Resumes

Carsten Stoll Photo 1

Research Scientist

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Location:
San Francisco, CA
Industry:
Research
Work:
Facebook
Research Scientist
The Captury Jul 2013 - Oct 2015
Co-Founder, Chief Technology Officer
Max-Planck Center For Visual Computing and Communication Apr 2010 - Jun 2012
Head of Research Group 'Optical Performance Capture'
Weta Digital Apr 2011 - Mar 2012
Visiting Researcher
Max Planck Institute For Informatics Dec 2009 - Mar 2010
Post-Doctoral Researcher
Education:
Technische Universität Darmstadt 1999 - 2004
Skills:
Computer Graphics
Computer Vision
Motion Capture
Image Processing
Computer Science
Machine Learning
Algorithms
Programming
Opengl
Pattern Recognition
C++
Geometric Modeling
Opencv
Software Engineering
Matlab
C
Languages:
German
English
Carsten Stoll Photo 2

Research Scientist

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Location:
San Francisco, CA
Work:
Epic Games
Research Scientist

Publications

Us Patents

Co-Located Pose Estimation In A Shared Artificial Reality Environment

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US Patent:
20210149190, May 20, 2021
Filed:
Nov 14, 2019
Appl. No.:
16/683950
Inventors:
- Menlo Park CA, US
Carsten Sebastian Stoll - San Francisco CA, US
Benjamin Antoine Georges Lefaudeux - Menlo Park CA, US
International Classification:
G02B 27/00
G06F 3/01
H04N 13/344
H04L 29/06
G06T 19/00
Abstract:
Artificial reality (AR) systems track pose and skeletal positioning for multiple co-located participants, each having a head mounted display (HMD). Participants can join a shared artificial reality event or experience with others in the same location. Each participant's HMD can independently render AR content for the participant based on the participant's pose and pose information obtained from other participants' HMDs. A participating HMD may broadcast tracking estimates for skeletal points of interest (e.g., joints, finger tips, knees, ankle points, etc.) that are within the field-of-view of the HMD's cameras and/or sensors. A participating HMD may receive skeletal position information determined by other HMDs, and aggregate the received tracking information along with internal tracking information to construct an accurate, full estimate of its own pose and skeletal positioning information for its corresponding participant.
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Carsten S Stoll from San Francisco, CA Get Report