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A Region Adjacency Tree Approach to the Detection and Design of Fiducials.

A Region Adjacency Tree Approach to the Detection and Design of Fiducials.
A Region Adjacency Tree Approach to the Detection and Design of Fiducials.
We report a topological approach to fiducial recognition for real-time applications. Independence from geometry makes the system tolerant to severe distortion, and allows encoding of extra information. The method is based on region adjacency trees. After describing the mathematical foundations, we present a set of simulations to evaluate the algorithm and optimise the fiducial design.
63-69
Costanza, Enrico
0868f119-c42e-4b5f-905f-fe98c1beeded
Robinson, John
d362629e-16e0-4868-83f7-8050fc3402d7
Costanza, Enrico
0868f119-c42e-4b5f-905f-fe98c1beeded
Robinson, John
d362629e-16e0-4868-83f7-8050fc3402d7

Costanza, Enrico and Robinson, John (2003) A Region Adjacency Tree Approach to the Detection and Design of Fiducials. At VVG VVG. pp. 63-69.

Record type: Conference or Workshop Item (Poster)

Abstract

We report a topological approach to fiducial recognition for real-time applications. Independence from geometry makes the system tolerant to severe distortion, and allows encoding of extra information. The method is based on region adjacency trees. After describing the mathematical foundations, we present a set of simulations to evaluate the algorithm and optimise the fiducial design.

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Published date: 2003
Venue - Dates: VVG, 2003-01-01
Organisations: Agents, Interactions & Complexity

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Local EPrints ID: 270958
URI: https://eprints.soton.ac.uk/id/eprint/270958
PURE UUID: 8fd0dd37-7cd3-4fbe-b02a-ad41f5e91d3a

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Date deposited: 30 Apr 2010 16:12
Last modified: 18 Jul 2017 06:49

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Contributors

Author: Enrico Costanza
Author: John Robinson

University divisions

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