Deep Convolutional Neural Networks for estimating lens distortion parameters
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Conference PaperDate:
2019Access:
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Lutz, S., Davey, M. & Smolic, A., Deep Convolutional Neural Networks for estimating lens distortion parameters, Irish Machine Vision and Image Processing Conference (IMVIP) 2019Download Item:
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.
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https://v-sense.scss.tcd.ie/wp-content/uploads/2019/08/IMVIP___Lens_distortion1.pdfhttp://hdl.handle.net/2262/91573
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Grant Number
SFI stipend
15/RP/2776
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http://people.tcd.ie/smolicaDescription:
PUBLISHEDSponsor:
SFI stipendOther Titles:
Irish Machine Vision and Image Processing Conference (IMVIP) 2019, 2019.Type of material:
Conference PaperURI:
https://v-sense.scss.tcd.ie/wp-content/uploads/2019/08/IMVIP___Lens_distortion1.pdfhttp://hdl.handle.net/2262/91573
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Creative Technologies , Multimedia & CreativityDOI:
https://doi.org/10.25546/91573Metadata
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