18 citations · 56 across the 25 of their papers we have counts for
4 papers · 1 filter
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…
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations
James Pritts, Zuzana Kukelova, Viktor Larsson +2
This paper introduces minimal solvers that jointly solve for radial lens undistortion and affine-rectification using local features extracted from the image of coplanar translated…
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales
James Pritts, Zuzana Kukelova, Viktor Larsson +2
This paper introduces the first minimal solvers that jointly estimate lens distortion and affine rectification from the image of rigidly-transformed coplanar features. The solvers…
Homography from two orientation- and scale-covariant features
Daniel Barath, Zuzana Kukelova
This paper proposes a geometric interpretation of the angles and scales which the orientation- and scale-covariant feature detectors, e.g. SIFT, provide. Two new general constraint…