3D Construction of the Environment Using RGBD Camera Based on Structure from Motion and Truncated Signed Distance Function

With the advancement and popularization of robotics technique, an increasing number of researchers are exploring the use of depth cameras to achieve 3D scene reconstruction. In order to facilitate the implementation of 3D modeling through RGBD camera, this paper investigates the combination of Structure from Motion and Truncated Signed Distance Function techniques for robot navigation. By proposing a novel camera size recovery method, this work successfully reconstructs mesh models from RGBD camera-generated ROSBAG files.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/robio64047.2024.10907653
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
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article

3D Construction of the Environment Using RGBD Camera Based on Structure from Motion and Truncated Signed Distance Function

Chao Xie, Boo Cheong Khoo, Sutthiphong Srigrarom, Qihang Chen
Remote Sensing and Land Use
article

3D Construction of the Environment Using RGBD Camera Based on Structure from Motion and Truncated Signed Distance Function

Chao Xie, Boo Cheong Khoo, Sutthiphong Srigrarom, Qihang Chen
article en

Abstract

With the advancement and popularization of robotics technique, an increasing number of researchers are exploring the use of depth cameras to achieve 3D scene reconstruction. In order to facilitate the implementation of 3D modeling through RGBD camera, this paper investigates the combination of Structure from Motion and Truncated Signed Distance Function techniques for robot navigation. By proposing a novel camera size recovery method, this work successfully reconstructs mesh models from RGBD camera-generated ROSBAG files.

National University of Singapore (SG)
Sustainable cities and communities
Openalex Percentile: Top 71%
Remote Sensing and Land Use
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