基于层次化算法在欧氏空间不标定重构三维场景

Uncalibrated Euclidean 3D Reconstruction Based on Stratification Algorithm

研究一种由彩色编码投影仪及数码摄像机组成的不标定三维场景重构技术,在三维场景重构过程中,只有投影仪的参数需事先标定,而摄像机的内外参数在三维重构过程中不需标定且可随场景的不同而变化。基于层次化算法,仅需单幅三维图像就可实现对三维未知场景进行不标定欧氏重构。详细地叙述了该种不标定算法,并进行了实验验证。

A method of uncalibrated 3D Euclidean reconstruction is investigated based on a machine vision system consisting of a color encoded projector and a digital camera. In the 3D reconstruction, only the parameters of the projector are afflicted with hard calibration beforehand. The intrinsic and extrinsic parameters of the camera are free of calibration, and could be changed with the variation of the scene 3D construction. With a single image of the scene, its Euclidean 3D reconstruction can be obtained by using the stratification algorithm, which is detailed and testified by an experiment.