123 citations · 328 across the 9 of their papers we have counts for
5 papers · 1 filter
Camera Pose Estimation from Lines using Plücker Coordinates
Bronislav Přibyl, Pavel Zemčík, Martin Čadík
Correspondences between 3D lines and their 2D images captured by a camera are often used to determine position and orientation of the camera in space. In this work, we propose a no…
Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation
Bronislav Přibyl, Pavel Zemčík, Martin Čadík
This work is concerned with camera pose estimation from correspondences of 3D/2D lines, i. e. with the Perspective-n-Line (PnL) problem. We focus on large line sets, which can be e…
Compression Artifacts Removal Using Convolutional Neural Networks
Pavel Svoboda, Michal Hradis, David Barina +1
This paper shows that it is possible to train large and deep convolutional neural networks (CNN) for JPEG compression artifacts reduction, and that such networks can provide signif…
Parallel Wavelet Schemes for Images
David Barina, Michal Kula, Pavel Zemcik
In this paper, we introduce several new schemes for calculation of discrete wavelet transforms of images. These schemes reduce the number of steps and, as a consequence, allow to r…
CNN for License Plate Motion Deblurring
Pavel Svoboda, Michal Hradis, Lukas Marsik +1
In this work we explore the previously proposed approach of direct blind deconvolution and denoising with convolutional neural networks in a situation where the blur kernels are pa…