3D Panoramic Reconstruction with an Uncalibrated System of Stereovision Using Evolutionary Algorithms

Abstract

In this paper, a new method to reconstruct a 3D panoramic shape is introduced. It is based on an uncalibrated stereovision system composed of five cameras circularly located around the object to be analysed. The method is based on the detection of interesting points and their matching from one image to another. An evolutionary algorithm provides two basic elements: on the one hand, the interesting point depth values and on the other hand, the transformation matrix between the two images. Experimental results validate the proposed method.