基于彩色编码投影仪的不标定三维重构算法

在机器视觉的研究中，三维场景重构的理论与技术是很重要的内容，在理论上已从标定三维重构发展到不标定三维重构．一般来说不标定三维重构是基于被动视觉原理，利用一个参数不变的摄像机，对同一幅场景在不同视点处获得的多幅图像序列(至少需要3幅图像)来实现的．基于一种伪随机彩色编码投影照明主动视觉原理，研究了仅利用一幅图像，在欧式空间不标定重构三维场景的算法．整个算法分三个层次，即分别依次由射影重构、仿射重构和欧式重构来实现．文中详细给出了各个层次上的算法原理与相互关系，并给出了实验验证结果．

Uncalibrated reconstruction algorithm based on color-encoded projector

In research on machine vision, the theory and technique of recovering 3D scenes are important research subjects. They have been developed from 3D reconstruction method with calibrated cameras to one with uncalibrated cameras. Generally speaking, in order to reconstruct a 3D scene, at least three pictures, which are grabbed at three different viewpoints with a moving camera keeping its constant intrinsic parameters, must be needed. In this paper, however, it is carried out in Euclidean space only with a single picture of the scene. It is based on active machine vision with a color encoded pseudo - array pattern projector. In the paper we focus on the algorithm for a scene uncalibrated 3D reconstruction. The algorithm, which is divided into three steps: projective reconstruction, affine reconstruction and Euclidean reconstruction up to a scale, is detailed. In last an experiment has been taken to estimate it.