dc.contributor.author | Smolic, Aljosa | |
dc.contributor.author | Lutz, Sebastian | |
dc.contributor.author | Davey, Mark | |
dc.date.accessioned | 2020-02-18T16:20:41Z | |
dc.date.available | 2020-02-18T16:20:41Z | |
dc.date.issued | 2019 | |
dc.date.submitted | 2019 | en |
dc.identifier.citation | Lutz, S., Davey, M. & Smolic, A., Deep Convolutional Neural Networks for estimating lens distortion parameters, Irish Machine Vision and Image Processing Conference (IMVIP) 2019 | en |
dc.identifier.other | Y | |
dc.description | PUBLISHED | en |
dc.description.abstract | In this paper we present a convolutional neural network (CNN) to predict multiple lens distortion
parameters from a single input image. Unlike other methods, our network is suitable to create high
resolution output as it directly estimates the parameters from the image which then can be used to
rectify even very high resolution input images. As our method it is fully automatic, it is suitable for
both casual creatives and professional artists. Our results show that our network accurately predicts
the lens distortion parameters of high resolution images and corrects the distortions satisfactory. | en |
dc.language.iso | en | en |
dc.rights | Y | en |
dc.subject | Camera calibration | en |
dc.subject | Lens distortion | en |
dc.subject | CNN | en |
dc.subject | Deep learning | en |
dc.subject | Convolutional neural networks | en |
dc.title | Deep Convolutional Neural Networks for estimating lens distortion parameters | en |
dc.title.alternative | Irish Machine Vision and Image Processing Conference (IMVIP) 2019, 2019. | en |
dc.type | Conference Paper | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/smolica | |
dc.identifier.rssinternalid | 212582 | |
dc.identifier.doi | https://doi.org/10.25546/91573 | |
dc.rights.ecaccessrights | openAccess | |
dc.subject.TCDTheme | Creative Technologies | en |
dc.subject.TCDTag | Multimedia & Creativity | en |
dc.subject.darat_impairment | Other | en |
dc.status.accessible | N | en |
dc.contributor.sponsor | SFI stipend | en |
dc.contributor.sponsorGrantNumber | 15/RP/2776 | en |
dc.identifier.uri | https://v-sense.scss.tcd.ie/wp-content/uploads/2019/08/IMVIP___Lens_distortion1.pdf | |
dc.identifier.uri | http://hdl.handle.net/2262/91573 | |