Show simple item record  

dc.contributor.authorPerrone, John A.en_NZ
dc.contributor.authorCree, Michael J.en_NZ
dc.contributor.authorHedayati, Mohammaden_NZ
dc.coverage.spatialConference held at Salerno, Italyen_NZ
dc.date.accessioned2019-10-23T20:29:21Z
dc.date.available2019en_NZ
dc.date.available2019-10-23T20:29:21Z
dc.date.issued2019en_NZ
dc.identifier.citationPerrone, J. A., Cree, M. J., & Hedayati, M. (2019). Using the properties of Primate Motion Sensitive Neurons to extract camera motion and depth from brief 2-D Monocular Image Sequences. In International Conference on Computer Analysis of Images and Patterns (Vol. 11678, pp. 600–612). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-29888-3_49en
dc.identifier.urihttps://hdl.handle.net/10289/13019
dc.description.abstractHumans and most animals can run/fly and navigate efficiently through cluttered environments while avoiding obstacles in their way. Replicating this advanced skill in autonomous robotic vehicles currently requires a vast array of sensors coupled with computers that are bulky, heavy and power hungry. The human eye and brain have had millions of years to develop an efficient solution to the problem of visual navigation and we believe that it is the best system to reverse engineer. Our brain and visual system appear to use a very different solution to the visual odometry problem compared to most computer vision approaches. We show how a neural-based architecture is able to extract self-motion information and depth from monocular 2-D video sequences and highlight how this approach differs from standard CV techniques. We previously demonstrated how our system works during pure translation of a camera. Here, we extend this approach to the case of combined translation and rotation.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer
dc.rights© Springer Nature Switzerland AG 2019. This is the author's accepted version. The final publication is available at Springer via dx.doi.org/10.1007/978-3-030-29888-3_49
dc.sourceInternational Conference on Computer Analysis of Images and Patternsen_NZ
dc.subjectbiologically-based motion sensor
dc.subjectvisual odometry
dc.subjectmonocular visual sensor
dc.subjectoptical flow
dc.subjectimage motion
dc.subjectdepth-from-motion
dc.titleUsing the properties of Primate Motion Sensitive Neurons to extract camera motion and depth from brief 2-D Monocular Image Sequencesen_NZ
dc.typeConference Contribution
dc.identifier.doi10.1007/978-3-030-29888-3_49en_NZ
dc.relation.isPartOfInternational Conference on Computer Analysis of Images and Patternsen_NZ
pubs.begin-page600
pubs.elements-id240543
pubs.end-page612
pubs.finish-date2019-09-06en_NZ
pubs.place-of-publicationCham, Switzerland
pubs.start-date2019-09-02en_NZ
pubs.volume11678en_NZ


Files in this item

This item appears in the following Collection(s)

Show simple item record