Národní úložiště šedé literatury Nalezeno 1 záznamů.  Hledání trvalo 0.02 vteřin. 
Visual Camera Orientation Estimation using Machine Learning
Kubička, Martin ; Polášek, Tomáš (oponent) ; Čadík, Martin (vedoucí práce)
The purpose of this work is to create a model using spherical convolutional neural networks that can estimate the orientation of a camera from two inputs, where the first input is a panorama and the second input is a photograph capturing a specific part of the panorama. In other words, the task is to find where in the panorama, which is the first input, is located the photo, which is the second input. In addition to three created models that address this problem, six new datasets have also been created, which expand the currently available number of datasets whose photos are in equirectangular or stereographic format.

Viz též: podobná jména autorů
4 Kubička, Milan
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