3D Point Cloud Reconstruction Using Structure from Motion with Sequence Images in Hadoop
AUTHORS
Dongyue Wang,Dept. of Computer Science Gachon University,Sujeong-Gu, Seongnam-Si, Gyeonggi-Do, Korea
Taegkeun Whangbo,Dept. of Computer Science Gachon University,Sujeong-Gu, Seongnam-Si, Gyeonggi-Do, Korea
ABSTRACT
Reconstructing a 3D structure from 2D images is a hot research topic in computer vision, and many approaches have been proposed to solve this problem in recent years. The structure from motion (SfM) algorithm has the potential to successfully reconstruct geometry from an image set, but the execution of the SfM algorithm on a single computer is only possible with small image sets. In this paper, we propose an algorithm for realizing 3D reconstruction from sequence images on the Hadoop cluster. Our test results reveal that we can achieve fast 3D reconstruction using Hadoop.
KEYWORDS
3D reconstruction; structure from motion; Hadoop
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