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

الملخص EN

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.