3D Object Reconstruction Based on Motion Vision

This paper proposes a novel method for reconstruction of the target three-dimensional (3D) objects based on motion vision. The main contribution of this paper is twofold: (1) we build a new mathematical model to express the position relationship of the camera, the image plane, the ground plane and the target 3D objects at different times. (2) We propose and implement a 3D reconstruction algorithm refer to the mathematical model using geometric theory. With the result of that, we know the distance from the camera to the objects and the height of the objects in the real world. The experimental indicates have shown the accuracy of the approach presented in this paper.