3D-Based synthesis and 3D reconstruction from uncalilbrated images

Abstract

In this paper, we propose a new camera calibration method for the 3D-based image synthesis and 3D reconstruction. We improve the problem as changing the principle point for obtaining the linear equation. According to the error rate, we adapt the non-linear method that minimizes the intrinsic parameters. Namely, it minimizes the intrinsic parameters error with maintaining the computational conciseness. As a result, we can find optimized camera intrinsic parameters and adapt to image synthesis and reconstruction. Experimental results show the performance of the proposed method is the better than the previous. We also demonstrate examples of the 3D-based image synthesis and 3D reconstruction from uncalibrated images.