Automated 3D Scenes Reconstruction Using Multiple Stereo Pairs from Portable Four-Camera Photographic Measurement System

Author:

Peng Qi1,Tu Lifen1,Zhang Kaibing1,Zhong Sidong2

Affiliation:

1. School of Physics and Electronic Information Engineering, Hubei Engineering University, Xiaogan 432000, China

2. School of Electronic Information, Wuhan University, Wuhan 430072, China

Abstract

An effective automatic 3D reconstruction method using a portable four-camera photographic measurement system (PFCPMS) is proposed. By taking advantage of the complementary stereo information from four cameras, a fast and highly accurate feature point matching algorithm is developed for 3D reconstruction. Specifically, we first utilize a projection method to obtain a large number of dense feature points. And then a reduction and clustering treatment is applied to simplify the Delaunay triangulation process and reconstruct a 3D model for each scene. In addition, a 3D model stitching approach is proposed to further improve the performance of the limited field-of-view for image-based method. The experimental results tested on the 172 cave in Mogao Grottoes indicate that the proposed method is effective to reconstruct a 3D scene with a low-cost four-camera photographic measurement system.

Funder

National Basic Research Program of China

Publisher

Hindawi Limited

Subject

Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

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