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Image and Vision Computing
Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://doi.org/10.5244/c.16.7...
Article . 2002 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2022
Data sources: DBLP
DBLP
Conference object . 2021
Data sources: DBLP
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A Procedure for Automatically Estimating Model Parameters in Optical Motion Capture

Authors: Maurice Ringer; Joan Lasenby;

A Procedure for Automatically Estimating Model Parameters in Optical Motion Capture

Abstract

Abstract Model-based optical motion capture systems require knowledge of the position of the markers relative to the underlying skeleton, the lengths of the skeleton's limbs, and which limb each marker is attached to. These model parameters are typically assumed and entered into the system manually, although techniques exist for calculating some of them, such as the position of the markers relative to the skeleton's joints. We present a fully automatic procedure for determining these model parameters. It tracks the 2D positions of the markers on the cameras' image planes and determines which markers lie on each limb before calculating the position of the underlying skeleton. The only assumption is that the skeleton consists of rigid limbs connected with ball joints. The proposed system is demonstrated on a number of real data examples and is shown to calculate good estimates of the model parameters in each.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Average
bronze