Improving 3D Reconstruction Through RGB-D Sensor Noise Modeling

Improving 3D Reconstruction Through RGB-D Sensor Noise Modeling

High-resolution RGB-D sensors are widely used in computer vision, manufacturing, and robotics. The depth maps from these sensors have inherently high measurement uncertainty that includes both systematic and non-systematic noise. These noisy depth estimates degrade the quality of scans, resulting in...

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Bibliographic Details
Main Authors: Fahira Afzal Maken, Sundaram Muthu, Chuong Nguyen, Changming Sun, Jinguang Tong, Shan Wang, Russell Tsuchida, David Howard, Simon Dunstall, Lars Petersson
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
sensor noise modeling
3D reconstruction
RGB-D fusion
Online Access:https://www.mdpi.com/1424-8220/25/3/950
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