Geometry calibration is a key step to the seamless display of an autostereoscopic tiled display system using multiple projectors

but the robust detection of feature points is more important because the geometry calibration is based on the feature-point detection.Due to the anisotropic refection characteristics of lens sheets for an autostereoscopic display screen

it is very difficult to find a threshold for the threshold-based method to segment those feature images well.In this paper

we propose a robust feature-point detection method for the autostereoscopic tiled display system using multiple projectors.It first detects feature points with the circle detection method based on Hough transform

then

the convex hull of the feature points is computed;undetected feature points are added into the feature-point mesh

and the coordinates of the feature points are updated twice by the linear least square fitting to minimize the errors;and last

based on the feature-point mesh

the geometry calibration is performed for the autostereoscopic tiled display system using multiple projectors.The experimental results show that our feature-point detection approach is robust and precise enough for the geometry calibration.