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Martin J. How

dblp:78/7736 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0001-5135-8828ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%
Artificial intelligence
1 paper
Legged, aerial and field robots · 77% Robot navigation and mapping · 23%
Computer networks
1 paper
Optical networks · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging
polarization imaging
0.212014
Animal Polarization Imaging and Implications for Optical Processing · Proc. IEEE 2014
Robotics › Legged, aerial and field robots
field robotics
0.112009
Surveying noctural cuttlefish camouflage behaviour using an AUV · ICRA 2009
Optical networks
optical signal processing
0.112014
Animal Polarization Imaging and Implications for Optical Processing · Proc. IEEE 2014
Robotics › Robot navigation and mapping
SLAM
0.012009
Surveying noctural cuttlefish camouflage behaviour using an AUV · ICRA 2009

Methods — techniques the papers use, named apart from their topics

polarization imaging · 0.4bio-inspired models · 0.4stereo imaging · 0.1
YearPublicationVenuePosition
2014 Animal Polarization Imaging and Implications for Optical Processing
abstract
Biologically inspired solutions for modern-day sensory systems promise to deliver both higher capacity and faster, more efficient processing of information than current computational approaches. Many animals are able to perform remarkable sensing tasks despite only being able to process what would be considered modest data rates and bandwidths. The key biological innovations revolve around dedicated filter designs. By sacrificing some flexibility, specifically matched and hard-wired sensory systems, designed primarily for single roles, provide a blueprint for data and task-specific efficiency. In this paper, we examine several animal visual systems designed to use the polarization of light in spatial imaging. We investigate some implications for artificial optical processing based on models of polarization image processing in fiddler crabs, cuttlefish, octopus, and mantis shrimp.
Nicholas W. Roberts, Martin J. How, Megan L. Porter, Shelby E. Temple, Roy L. Caldwell, Samuel B. Powell, Viktor Gruev, N. Justin Marshall, Thomas W. Cronin
Proc. IEEE2
2009 Surveying noctural cuttlefish camouflage behaviour using an AUV
abstract
This paper describes a recent study in which an autonomous underwater vehicle (AUV) with a high resolution stereo-imaging system was used to document nocturnal camouflage behaviour in cuttlefish at a well known spawning site in Whyalla, South Australia. The AUV's ability to fly at low altitude during day and night while closely following a desired survey pattern provided improved data collection compared to divers and previous work with a small ROV. Over the course of the week long expedition, the AUV Sirius was deployed on 38 dives at three sites in the survey area and collected tens of thousands of stereo images. Of these, nearly a thousand were seen to contain cuttlefish during post cruise analysis, with a large proportion showing evidence of camouflage. The distribution of images containing cuttlefish suggest that the animal concentrations were substantially higher closer in to shore in shallow waters, where the flat rocky substrate occurs; females lay their eggs on the underside of these rocks. Results demonstrate the strengths of using an AUV for surveying near-shore benthic habitats of ecological interest, with a particular emphasis on the ability to operate during both day and night time operations.
Stefan B. Williams, Oscar Pizarro, Martin J. How, Duncan Mercer, George Powell, N. Justin Marshall, Roger Hanlon
ICRA3