COMPARATIVE ANALYSIS OF CHESSBOARD CORNERS DETECTION ALGORITHMS
D.A. Mikhailenko
Novosibirsk State Technical University, Novosibirsk, Russia
Keywords: object detection, calibration, photogrammetry, projective geometry, computer vision
Abstract
In this paper, the maximum detection range of the various chessboard corners detection algorithms is compared. The requirements to the minimum square size for detecting the internal corners of a chessboard are determined. Formulae for determining the maximum distance to a chessboard of a known size and the smallest detectable size of a chessboard for a given distance are proposed
|
