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11: Tracking: Beyond 15 Minutes of Thought
Sunday, Half Day, 1:30 - 5 pm
Room 404
Every
year, dozens of vendors display different systems for
tracking motion capture at the SIGGRAPH exhibition. Why
are there so many different approaches to this seemingly
simple problem? How do the systems differ and what are
the strengths and limitations of each approach? How can
you decide which is appropriate for your application?
This course provides a basic understanding of the available
technologies and approaches, their fundamental limitations,
and how those limitations can become problems. Attendees
peek "under the hood" of a few systems so they
might better understand system performance (or lack thereof)
and improve their results by adjusting set-ups to better
match the technology.
Prerequisites
A basic mathematical background, sufficient to understand
explanations that involve beginning statistics, random
signals, and geometric transformations.
Topics
Basic mathematical foundations (statistics, random signals,
and transforms). Sensor and system information and uncertainty.
Technologies and sensing mediums for tracking. Geometric
configurations and related sensitivity. Examples of algorithms
for magnetic, inertial, and optical systems. Hybrid technology
approaches. Motion prediction (world and body-centric).
Sources and propagation of error.
Organizers
Gary Bishop
Gregory Welch
University of North Carolina at Chapel
Hill
Lecturers
B. Danette Allen
Gary Bishop
Gregory Welch
University of North Carolina at Chapel
Hill |
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