41 citations · 63 across the 12 of their papers we have counts for
3 papers · 1 filter
Robust Self-calibration of Focal Lengths from the Fundamental Matrix
Viktor Kocur, Daniel Kyselica, Zuzana Kukelova
The problem of self-calibration of two cameras from a given fundamental matrix is one of the basic problems in geometric computer vision. Under the assumption of known principal po…
Supersampling of Data from Structured-light Scanner with Deep Learning
Martin Melicherčík, Lukáš Gajdošech, Viktor Kocur +1
This paper focuses on increasing the resolution of depth maps obtained from 3D cameras using structured light technology. Two deep learning models FDSR and DKN are modified to work…
Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning
Tomáš Kunzo, Viktor Kocur, Lukáš Gajdošech +1
Teeth segmentation is an essential task in dental image analysis for accurate diagnosis and treatment planning. While supervised deep learning methods can be utilized for teeth seg…