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dc.contributor.authorDimitrievski, Martin
dc.contributor.authorGoossens, Bart
dc.contributor.authorVeelaert, Peter
dc.contributor.authorPhilips, Wilfried
dc.date.accessioned2021-10-24T04:20:32Z
dc.date.available2021-10-24T04:20:32Z
dc.date.issued2017
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/28254
dc.sourceIIOimport
dc.titleHigh resolution depth reconstruction from monocular images and sparse point clouds using deep convolutional neural network
dc.typeProceedings paper
dc.contributor.imecauthorDimitrievski, Martin
dc.contributor.imecauthorGoossens, Bart
dc.contributor.imecauthorVeelaert, Peter
dc.contributor.imecauthorPhilips, Wilfried
dc.contributor.orcidimecDimitrievski, Martin::0000-0003-4477-7746
dc.contributor.orcidimecGoossens, Bart::0000-0002-1666-5483
dc.contributor.orcidimecPhilips, Wilfried::0000-0003-4456-4353
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage104100H
dc.source.conferenceUnconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing
dc.source.conferencedate6/08/2017
dc.source.conferencelocationSan Diego, CA USA
dc.identifier.urlhttps://doi.org/10.1117/12.2273959
imec.availabilityPublished - open access
imec.internalnotesProceedings of SPIE; VOl. 10410


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