Current studentsExisting staffContact us
 

Towards environmentally-invariant optic flow estimation inspired by insect biology /

Simple item page
dc.contributor.authorSkelton, Phillip Stanley Martin
dc.contributor.schoolUniversity of South Australia. Defence and Systems Institute.
dc.contributor.schoolDefence and Systems Institute.
dc.date.issued2020
dc.description1 ethesis (xxiv, 219 pages) :
dc.descriptionillustrations (some colour), charts (some colour)
dc.descriptionIncludes bibliographical references (pages 157-194)
dc.description.abstractVisual information is abundant and useful, not only for scene understanding, but also the estimation of motion. Biology has had millennia to develop visual systems, and many species rely heavily upon visual input for self-motion estimation in navigation. While biologists continue to further the understanding of these complex systems, technologists have fallen behind in the application of this knowledge. Concentrating on the motion processing pathways of insects, my research links biologically-inspired signal processing techniques to applications that are technologically viable. Levels of accuracy and consistency previously unseen in dense motion estimators were achieved while transferring existing biological knowledge into a technological application. New biological insights were gained, and their implementation has resulted in a plethora of new opportunities for autonomous navigation.
dc.description.dissertationThesis (PhD(Systems Engineering))--University of South Australia, 2020.
dc.identifier.urihttps://hdl.handle.net/11541.2/144887
dc.language.isoen
dc.provenanceCopyright 2020 Phillip Stanley Martin Skelton.
dc.subjectoptic flow;biologically inspired;biology;insect vision;computer vision
dc.subject.lcshImage processing
dc.subject.lcshInsects
dc.subject.lcshMotion perception (Vision)
dc.subject.lcshVisual evoked response.
dc.titleTowards environmentally-invariant optic flow estimation inspired by insect biology /
dc.typethesis
dcterms.accessRights506 0#$fstar $2Unrestricted online access
ror.fileinfo12206946800001831 13206946790001831 Skelton, Phillip - Thesis
ror.mmsid9916455802001831

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Skelton, Phillip - Thesis.pdf
Size:
31.12 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download

Collections