Automated Reconstruction of 3D Object from Sequences Images Based on SVD

This paper proposes a linear estimation algorithm in order to restore the three-dimensional coordinates of feature points in three images. Using the singular value decomposition algorithm to calculate spatial point which corresponding all the match points in the image sequence based on triangle algorithm, and it introduces the triangle centre of gravity as constraint condition. Then, it uses Delauny triangulation to establish a three-dimensional network for discrete three-dimensional point. Consequently, it realizes the automated reconstruction of 3D object based on multiple sequences of images. Finally, the texture mapping and color rendering be used to reconstruct a highly realistic three-dimensional target. Experimental results show that: This method directly extracts three-dimensional information from two-dimensional image without manual modeling, and it improves the efficiency of building large-scale virtual scene. Thus it has a lot of advantage such as high reconstruction accuracy, robustness and so on, and it has practical significance for improving the accuracy and efficiency of the three-dimensional reconstruction.