Camera Pose Estimation from Sequence of Calibrated Images

TL;DR

This paper introduces a camera pose estimation method using calibrated image sequences, reducing the need for point correspondences and serving as an initial step in 3D reconstruction systems.

Contribution

It presents a novel algorithm that leverages known intrinsic parameters to improve pose estimation efficiency in image sequences.

Findings

Reduces the number of point correspondences needed for pose estimation.

Enables use as a first stage in structure from motion systems.

Applicable to stereo reconstruction workflows.

Abstract

In this paper a method for camera pose estimation from a sequence of images is presented. The method assumes camera is calibrated (intrinsic parameters are known) which allows to decrease a number of required pairs of corresponding points compared to uncalibrated case. Our algorithm can be used as a first stage in a structure from motion stereo reconstruction system.