Automated sensory data alignment for environmental and epidermal change monitoring

Michael Milford; Jennifer Firn; James Beattie; Adam Jacobson; Edward Pepperell; Eugene Mason; Michael G Kimlin; Matthew Dunbabin

Automated sensory data alignment for environmental and epidermal change monitoring

Conference paper

Peer reviewed

Automated sensory data alignment for environmental and epidermal change monitoring

Michael Milford, Jennifer Firn, James Beattie, Adam Jacobson, Edward Pepperell, Eugene Mason, Michael G Kimlin and Matthew Dunbabin

Proceedings of the 2014 Australasian Conference on Robotics and Automation, pp.273-282

Australasian Conference on Robotics and Automation (ACRA), 2014 (Melbourne, Australia, 02-Dec-2014–04-Dec-2014)

Curran Associates Inc.

2014

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Abstract

Artificial Intelligence and Image Processing

Electrical and Electronic Engineering

Mechanical Engineering

place recognition

image processing

change detection

condition-invariant sequence-based place recognition

In this paper we present research adapting a state of the art condition-invariant robotic place recognition algorithm to the role of automated inter- and intra-image alignment of sensor observations of environmental and skin change over time. The approach involves inverting the typical criteria placed upon navigation algorithms in robotics; we exploit rather than attempt to fix the limited camera viewpoint invariance of such algorithms, showing that approximate viewpoint repetition is realistic in a wide range of environments and medical applications. We demonstrate the algorithms automatically aligning challenging visual data from a range of real-world applications: ecological monitoring of environmental change, aerial observation of natural disasters including flooding, tsunamis and bushfires and tracking wound recovery and sun damage over time and present a prototype active guidance system for enforcing viewpoint repetition. We hope to provide an interesting case study for how traditional research criteria in robotics can be inverted to provide useful outcomes in applied situations.

Details

Title: Automated sensory data alignment for environmental and epidermal change monitoring
Authors: Michael Milford (Author) - Queensland University of Technology
Jennifer Firn (Author) - Queensland University of Technology
James Beattie (Author) - Queensland University of Technology
Adam Jacobson (Author) - Queensland University of Technology
Edward Pepperell (Author) - Queensland University of Technology
Eugene Mason (Author) - Queensland University of Technology
Michael G Kimlin (Author) - Queensland University of Technology
Matthew Dunbabin (Author) - Queensland University of Technology
Publication details: Proceedings of the 2014 Australasian Conference on Robotics and Automation, pp.273-282
Conference details: Australasian Conference on Robotics and Automation (ACRA), 2014 (Melbourne, Australia, 02-Dec-2014–04-Dec-2014)
Publisher: Curran Associates Inc.
Date published: 2014
ISBN: 9781510813700
Organisation Unit: Tropical Forests and People Research Centre; University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy
Language: English
Record Identifier: 99450521302621
Output Type: Conference paper

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