AI Chat AI Image Generator AI Video Text to Speech

A Minimal Six-Point Auto-Calibration Algorithm

07/14/2013

∙

by Evgeniy Martyushev, et al.

∙

∙

A non-iterative auto-calibration algorithm is presented. It deals with a minimal set of six scene points in three views taken by a camera with fixed but unknown intrinsic parameters. Calibration is based on the image correspondences only. The algorithm is implemented and validated on synthetic image data.

page 1

page 2

page 3

page 4

research

∙ 07/30/2018

Self-Calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle

The internal calibration of a pinhole camera is given by five parameters...

0 Evgeniy Martyushev, et al. ∙

research

∙ 10/06/2015

Euclidean Auto Calibration of Camera Networks: Baseline Constraint Removes Scale Ambiguity

Metric auto calibration of a camera network from multiple views has been...

0 Kiran Kumar Vupparaboina, et al. ∙

research

∙ 06/11/2021

Calibration and Auto-Refinement for Light Field Cameras

The ability to create an accurate three-dimensional reconstruction of a ...

0 Yuriy Anisimov, et al. ∙

research

∙ 07/31/2016

Similarity Registration Problems for 2D/3D Ultrasound Calibration

We propose a minimal solution for the similarity registration (rigid pos...

0 Francisco Vasconcelos, et al. ∙

research

∙ 01/14/2021

Stereo camera system calibration: the need of two sets of parameters

The reconstruction of a scene via a stereo-camera system is a two-steps ...

8 Riccardo Beschi, et al. ∙

research

∙ 07/04/2020

Self-Calibration Supported Robust Projective Structure-from-Motion

Typical Structure-from-Motion (SfM) pipelines rely on finding correspond...

19 Rui Gong, et al. ∙

research

∙ 12/12/2017

Camera Calibration for Daylight Specular-Point Locus

In this paper we present a new camera calibration method aimed at findin...

0 Mark S. Drew, et al. ∙