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http://hdl.handle.net/20.500.12207/5296
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dc.contributor.authorFernandes, David-
dc.contributor.authorOliveira, Henrique-
dc.contributor.authorCorreia, Paulo-
dc.date.accessioned2020-10-12T09:17:32Z-
dc.date.available2020-10-12T09:17:32Z-
dc.date.issued2017-10-27-
dc.identifier.urihttp://hdl.handle.net/20.500.12207/5296-
dc.description.abstractDuring traditional road surveys, inspectors capture images of pavement surface using cameras that produce 2D images, which can then be automatically processed to get a road surface condition assessment. In this paper the use of a light field imaging sensor is proposed, notably the Lytro Illum camera, to explore whether the richer information captured by this imaging sensor provides additional cues useful to improve the automatic detection of road surface cracks. The preliminary results obtained indicate the interest in further exploring the disparity information captured by the light field sensor.por
dc.language.isoengpor
dc.publisherAcademia Militarpor
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/por
dc.subjectLight Field Imagingpor
dc.subjectRoad Surface Crack Detectionpor
dc.titleOn the suitability of light field imaging for road surface crack detectionpor
dc.typeconferenceObjectpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://academiamilitar.pt/recpad2017.htmlpor
degois.publication.firstPage81por
degois.publication.lastPage82por
degois.publication.locationAcademia Militar Portuguesa (Amadora)por
degois.publication.titleProceedings of the 23rd Portuguese Conference on Pattern Recognition, RECPAD2017por
Appears in Collections:D-ENG - Comunicações com peer review

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