Zuzana Kukelova

TL;DR: In this article, the radial lens undistortion and affine rectification are jointly solved using local features extracted from the image of coplanar translated and reflected scene texture, which is common in man-made environments.

TL;DR: In this article, Danini et al. proposed a method for refining the local feature geometries by symmetric intensity-based matching, combined uncertainty propagation inside RANSAC with preemptive model verification, show a general scheme for computing uncertainty of minimal solvers results, and adapt the sample cheirality check for homography estimation.

TL;DR: This paper proposes to fully calibrate a multi-camera system from scratch using an infrastructure-based approach and is more robust than the naive approach of first estimating intrinsic parameters and pose per camera before refining the extrinsic parameters of the system.

TL;DR: In this paper, a linear non-iterative linear solver was proposed to solve the rolling shutter camera absolute pose problem in an iterative manner. But it requires a non-minimal number of 9 correspondences.

TL;DR: This work proposes new minimal solutions to panoramic stitching of images taken by cameras with coinciding optical centers, i.e. undergoing pure rotation, and considers six practical camera configurations, from fully calibrated ones up to a camera with unknown fixed or varying focal length and with or without radial distortion.