3D-based synthesis and 3D reconstruction from uncalibrated images

In this paper, we propose a new camera calibration method for 3D-based image synthesis and 3D reconstruction. We improve the problem by 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 by maintaining the computational conciseness. As a result, we can find optimized camera intrinsic parameters and adapt them for image synthesis and reconstruction.