A Practical Method for 3D Reconstruction with Uncalibrated Image Sequences

3D reconstruction with uncalibrated image sequences is an important technique in computer vision. A lot of methods have been proposed to acquire 3D object structure and camera models. However, these methods of reconstruction always need corresponding points in more than two images. In this paper, a practical method of 3D reconstruction based on uncalibrated image sequence is proposed. This method makes a projective reconstruction by linear transformation. And this method avoids getting corresponding points in more than two images or computing the projective depths from fundamental matrices and epipoles. Experimental results on real image sequence are given to analyze the efficiency of the proposed methods.