3D Reconstruction Algorithm of Indoor Scene Based on Kinect Camera

Real-time 3D reconstruction based on consumer-grade depth cameras often causes problems such as noise, redundancy, and inter-frame mismatches. Aiming at the BundleFusion real-time indoor scene reconstruction method, a way to improve the accuracy and quality of reconstruction 3D models is proposed, and the adaptive processing of frame blocks is proposed. Local dynamic chunking is adopted to reduce the number of mismatched frames and improve model quality and clarity. Experiments show that the scene data after frame block adaptive processing retains more available frames, which improves the accuracy of reconstruction effect.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/spic62469.2024.10691486
Primary Topic
Simulation and Modeling Applications
Type
article
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article

3D Reconstruction Algorithm of Indoor Scene Based on Kinect Camera

Yiwen Liu, Yan Qi
Simulation and Modeling Applications
article

3D Reconstruction Algorithm of Indoor Scene Based on Kinect Camera

Yiwen Liu, Yan Qi
article en

Abstract

Real-time 3D reconstruction based on consumer-grade depth cameras often causes problems such as noise, redundancy, and inter-frame mismatches. Aiming at the BundleFusion real-time indoor scene reconstruction method, a way to improve the accuracy and quality of reconstruction 3D models is proposed, and the adaptive processing of frame blocks is proposed. Local dynamic chunking is adopted to reduce the number of mismatched frames and improve model quality and clarity. Experiments show that the scene data after frame block adaptive processing retains more available frames, which improves the accuracy of reconstruction effect.

Shenyang Ligong University (CN)
Sustainable cities and communities
Openalex Percentile: Top 81%
Simulation and Modeling Applications
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