RGB-IR Vision for 3D Scene Analysis and Thermal Assessment
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 21
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, the fusion of RGB and infrared (IR) imaging technologies has opened new frontiers in the 3D analysis of real-world scenes, especially in thermal diagnostics and energy efficiency assessments. For this Special Issue, we invite contributions at the intersection of multispectral vision, 3D reconstruction, and thermal analysis, with a focus on the calibration, registration, and interpretation of data acquired using RGB and long-wave infrared cameras.
We particularly welcome papers on the applications of low-cost, mobile imaging systems—such as those based on Raspberry Pi or similar platforms—in the analysis of buildings and infrastructure. These may include heat loss detection, thermal bridge identification, defect localization, and the data-driven estimation of residential structures’ energy efficiency.
The topics of interest include (but are not limited to) the following:
- RGB-IR camera calibration for multispectral 3D scene acquisition;
- Stereo and depth estimation using combined visible and thermal data;
- Thermal-emissive feature detection and semantic segmentation;
- The radiometric alignment and calibration of LWIR sensors;
- Low-cost embedded systems for thermal monitoring and smart inspection;
- Machine learning methods for the fusion and interpretation of RGB and IR images;
- Applications in energy loss estimation and building diagnostics;
- Mobile vision systems for real-time environmental monitoring;
- Data collection protocols and benchmark datasets for RGB-IR fusion.
Prof. Dr. Władysław Skarbek
Guest Editor
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Keywords
- RGB
- 3D analysis
- multispectral vision
- 3D reconstruction
- thermal analysis
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