Efficient Image Transformation and Camera Registration for the Multi-Projector Image Calibration

Abstract

Camera calibration is one of the essential techniques in the 3D computer vision field. Through calibration, the distortion problem can be solved with registration and by acquiring the intrinsic and extrinsic parameters of the camera. In this study, we use and develop more realistic contents through color information and image quality that is obtained by projecting multi-view images without distortion. These images are projected from a multi-projector to a screen. The proposed method solves the distortion problem that occurs when projecting an image to a screen using multi-projector projection. The no distortion reference image is built and projected by a multi-projector onto a screen with registration of the distortion target image and reference image by estimating the homography that shows the relationship between the reference image and distorted target image. In the experimental results, the images projected by the multi-projector are better than those projected by a single projector with respect to resolution and color. Further, the test environment consists of server/client and it can be projected without any distortion to a screen, regardless of the number of projectors.