JOURNAL ARTICLE

An efficient RGB-D camera based point cloud registration algorithm

Abstract

This paper proposes an indoor scene three-dimensional (3D) reconstruction system using pan-tilt platform and RGB-D camera. The proposed system can automatically reconstruct 3D indoor scenes on a fixed position. An efficient point cloud registration algorithm is proposed to align point clouds based on extrinsic parameters of the RGB-D camera from every presetted pan-tilt control points. Then, a local registration method is performed to refine the alignment result. Experimental results verify the quality and efficiency of the proposed point cloud alignment algorithm by comparing with a state-of-the-art method.

Keywords:
Point cloud Computer vision RGB color model Computer science Artificial intelligence Tilt (camera) Position (finance) Point (geometry) Computer graphics (images) Cloud computing Algorithm Mathematics

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Topics

3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering

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