1 citations · 1 across the 7 of their papers we have counts for
9 papers
Solving Minimal Problems Without Matrix Inversion Using FFT-Based Interpolation
Haidong Wu, Snehal Bhayani, Janne Heikkilä
Estimating camera geometry typically involves solving minimal problems formulated as systems of multivariate polynomial equations, which often pose computational challenges when us…
A Conic Transformation Approach for Solving the Perspective-Three-Point Problem
Haidong Wu, Snehal Bhayani, Janne Heikkilä
We propose a conic transformation method to solve the Perspective-Three-Point (P3P) problem. In contrast to the current state-of-the-art solvers, which formulate the P3P problem by…
A Novel Application of Polynomial Solvers in mmWave Analog Radio Beamforming
Snehal Bhayani, Praneeth Susarla, S. S. Krishna Chaitanya Bulusu +3
Beamforming is a signal processing technique where an array of antenna elements can be steered to transmit and receive radio signals in a specific direction. The usage of millimete…
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…
Sparse resultant based minimal solvers in computer vision and their connection with the action matrix
Snehal Bhayani, Janne Heikkilä, Zuzana Kukelova
Many computer vision applications require robust and efficient estimation of camera geometry from a minimal number of input data measurements, i.e., solving minimal problems in a R…
Partially calibrated semi-generalized pose from hybrid point correspondences
Snehal Bhayani, Viktor Larsson, Torsten Sattler +2
In this paper we study the problem of estimating the semi-generalized pose of a partially calibrated camera, i.e., the pose of a perspective camera with unknown focal length w.r.t.…
Calibrated and Partially Calibrated Semi-Generalized Homographies
Snehal Bhayani, Torsten Sattler, Daniel Barath +3
In this paper, we propose the first minimal solutions for estimating the semi-generalized homography given a perspective and a generalized camera. The proposed solvers use five 2D-…
Computing stable resultant-based minimal solvers by hiding a variable
Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä
Many computer vision applications require robust and efficient estimation of camera geometry. The robust estimation is usually based on solving camera geometry problems from a mini…
A sparse resultant based method for efficient minimal solvers
Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä
Many computer vision applications require robust and efficient estimation of camera geometry. The robust estimation is usually based on solving camera geometry problems from a mini…