activity
20002026
most citedA finite-dimensional TQFT for three-manifolds based on group PSL(2, C) and cross-ratios

5 citations · 15 across the 9 of their papers we have counts for

collaborators

14 papers

cs.SD2026

An implicitization-based solution to the minimal 4s/6r ToA problem using Cayley--Menger determinants

Evgeniy Martyushev

The paper introduces an efficient algebraic solver for the 4-sender/6-receiver (4s/6r) Time-of-Arrival (ToA) self-localization problem, which involves determining the relative posi…

cs.RO2025★ 2 cited

Forward kinematics of a general Stewart-Gough platform by elimination templates

Evgeniy Martyushev

The paper proposes an efficient algebraic solution to the problem of forward kinematics for a general Stewart-Gough platform. The problem involves determining all possible postures…

cs.CV2023★ 1 cited

Automatic Solver Generator for Systems of Laurent Polynomial Equations

Evgeniy Martyushev, Snehal Bhayani, Tomas Pajdla

In computer vision applications, the following problem often arises: Given a family of (Laurent) polynomial systems with the same monomial structure but varying coefficients, find…

cs.CV2022★ 1 cited

Optimizing Elimination Templates by Greedy Parameter Search

Evgeniy Martyushev, Jana Vrablikova, Tomas Pajdla

We propose a new method for constructing elimination templates for efficient polynomial system solving of minimal problems in structure from motion, image matching, and camera trac…

cs.RO2020

Relative Pose Estimation of Calibrated Cameras with Known Invariants

Bo Li, Evgeniy Martyushev, Gim Hee Lee

The invariants of a pose include its rotation angle and screw translation. In this paper, we present a complete comprehensive study of the relative pose estimation…

cs.CV2019★ 1 cited

Necessary and Sufficient Polynomial Constraints on Compatible Triplets of Essential Matrices

E. V. Martyushev

The essential matrix incorporates relative rotation and translation parameters of two calibrated cameras. The well-known algebraic characterization of essential matrices, i.e. nece…