output
20052026
most citedWhat are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis

999 citations

Showing cs.CVShow all

6 papers · 1 filter

cs.CV2023★ 22 cited

Blur Invariants for Image Recognition

Jan Flusser, Matej Lebl, Matteo Pedone +2

Blur is an image degradation that is difficult to remove. Invariants with respect to blur offer an alternative way of a~description and recognition of blurred images without any de…

cs.CV2021★ 47 cited

Fast Computation of Hahn Polynomials for High Order Moments

Basheera M. Mahmmod, Sadiq H. Abdulhussain, Tomáš Suk +1

Discrete Hahn polynomials (DHPs) and their moments are considered to be one of the efficient orthogonal moments and they are applied in various scientific areas such as image proce…

cs.CV2019★ 15 cited

Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects

Denys Rozumnyi, Jan Kotera, Filip Sroubek +1

We propose a novel method that tracks fast moving objects, mainly non-uniform spherical, in full 6 degrees of freedom, estimating simultaneously their 3D motion trajectory, 3D pose…

cs.CV2019★ 14 cited

Non-Causal Tracking by Deblatting

Denys Rozumnyi, Jan Kotera, Filip Šroubek +1

Tracking by Deblatting stands for solving an inverse problem of deblurring and image matting for tracking motion-blurred objects. We propose non-causal Tracking by Deblatting which…

cs.CV2019★ 23 cited

Intra-frame Object Tracking by Deblatting

Jan Kotera, Denys Rozumnyi, Filip Šroubek +1

Objects moving at high speed along complex trajectories often appear in videos, especially videos of sports. Such objects elapse non-negligible distance during exposure time of a s…

cs.CV2016★ 39 cited

The World of Fast Moving Objects

Denys Rozumnyi, Jan Kotera, Filip Sroubek +2

The notion of a Fast Moving Object (FMO), i.e. an object that moves over a distance exceeding its size within the exposure time, is introduced. FMOs may, and typically do, rotate w…