Active stereo platform: online epipolar geometry update
dc.contributor.author | Mohamed, A | |
dc.contributor.author | Culverhouse, Phil | |
dc.contributor.author | Cangelosi, Angelo | |
dc.contributor.author | Yang, C | |
dc.date.accessioned | 2018-09-13T22:27:39Z | |
dc.date.issued | 2018-12 | |
dc.identifier.issn | 1687-5176 | |
dc.identifier.issn | 1687-5281 | |
dc.identifier.other | 54 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/12361 | |
dc.description.abstract |
This paper presents a novel method to update a variable epipolar geometry platform directly from the motor encoder based on mapping the motor encoder angle to the image space angle, avoiding the use of feature detection algorithms. First, an offline calibration is performed to establish a relationship between the image space and the hardware space. Second, a transformation matrix is generated using the results from this mapping. The transformation matrix uses the updated epipolar geometry of the platform to rectify the images for further processing. The system has an overall error in the projection of ± 5 pixels, which drops to ± 1.24 pixels when the verge angle increases beyond 10°. The platform used in this project has 3° of freedom to control the verge angle and the size of the baseline. | |
dc.format.extent | 54- | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | SpringerOpen | |
dc.subject | Active stereo vision | |
dc.subject | Epipolar geometry | |
dc.subject | Calibration | |
dc.subject | Binocular vision | |
dc.subject | Real-time update | |
dc.title | Active stereo platform: online epipolar geometry update | |
dc.type | journal-article | |
dc.type | Journal Article | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000438134100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 1 | |
plymouth.volume | 2018 | |
plymouth.publication-status | Published | |
plymouth.journal | EURASIP Journal on Image and Video Processing | |
dc.identifier.doi | 10.1186/s13640-018-0292-8 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Institute of Health and Community | |
plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
dcterms.dateAccepted | 2018-06-20 | |
dc.rights.embargodate | 2018-9-26 | |
dc.identifier.eissn | 1687-5281 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1186/s13640-018-0292-8 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.type | Journal Article/Review |