Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition

TL;DR

This paper introduces an interactive camera calibration method that leverages a search algorithm and pose decomposition to improve calibration accuracy and user guidance, addressing limitations of fixed dataset approaches.

Contribution

It proposes a novel interactive calibration approach based on search algorithms and pose decomposition, providing clearer user instructions and more flexible pose selection.

Findings

Enhanced calibration accuracy demonstrated in experiments

Improved user guidance for pose placement

Greater flexibility over fixed dataset methods

Abstract

In many scenarios where cameras are applied, such as robot positioning and unmanned driving, camera calibration is one of the most important pre-work. The interactive calibration method based on the plane board is becoming popular in camera calibration field due to its repeatability and operation advantages. However, the existing methods select suggestions from a fixed dataset of pre-defined poses based on subjective experience, which leads to a certain degree of one-sidedness. Moreover, they does not give users clear instructions on how to place the board in the specified pose.