activity
20172020
most citedFast Hough Transform and approximation properties of dyadic patterns

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20201 cited

Problems of dataset creation for light source estimation

E. I. Ershov, A. V. Belokopytov, A. V. Savchik

The paper describes our experience collecting a new dataset for the light source estimation problem in a single image. The analysis of existing color targets is presented along wit…

cs.CV2019

1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)

Mikhail O. Chekanov, Oleg S. Shipitko, Egor I. Ershov

This paper proposes a RANSAC-based algorithm for determining the axial rotation angle of an object from a pair of its tomographic projections. An equation is derived for calculatin…

cs.CV2019

Multiple Light Source Dataset for Colour Research

Anna Smagina, Egor Ershov, Anton Grigoryev

We present a collection of 24 multiple object scenes each recorded under 18 multiple light source illumination scenarios. The illuminants are varying in dominant spectral colours,…

eess.IV2018

On the use of FHT, its modification for practical applications and the structure of Hough image

M. Aliev, E. I. Ershov, D. P. Nikolaev

This work focuses on the Fast Hough Transform (FHT) algorithm proposed by M.L. Brady. We propose how to modify the standard FHT to calculate sums along lines within any given range…

cs.CV20173 cited

Fast Hough Transform and approximation properties of dyadic patterns

E. I. Ershov, S. M. Karpenko

Hough transform is a popular low-level computer vision algorithm. Its computationally effective modification, Fast Hough transform (FHT), makes use of special subsets of image matr…