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Enhancing 3D Reconstruction with Thermal Imaging
This project seeks to merge the capabilities of thermal imaging with modern 3D reconstruction technologies, potentially unlock new possibilities for academic research and practical applications in urban planning, construction, and security.
Keywords: 3D Reconstruction, Thermal Imaging, Computer Graphics
Thermal cameras have grown increasingly popular due to their competitive pricing, robustness in adverse weather, and the unique modality of capturing surface thermal distributions. These techniques have been widely applied in robust object detection and tracking, infrastructure diagnostics, and large-scale urban analysis.
This project will explore the integration of thermal imaging with cutting-edge 3D reconstruction methods. The student will develop techniques to incorporate thermal images into 3D models, enabling the visualization of high-fidelity thermal distributions across diverse objects and scenes.
Thermal cameras have grown increasingly popular due to their competitive pricing, robustness in adverse weather, and the unique modality of capturing surface thermal distributions. These techniques have been widely applied in robust object detection and tracking, infrastructure diagnostics, and large-scale urban analysis.
This project will explore the integration of thermal imaging with cutting-edge 3D reconstruction methods. The student will develop techniques to incorporate thermal images into 3D models, enabling the visualization of high-fidelity thermal distributions across diverse objects and scenes.
- Develop a comprehensive understanding of both RGB and thermal imaging, focusing on their similarities and differences, along with associated preprocessing techniques (e.g.,data collection, normalization, alignment, calibration, etc.).
- Apply classic and state-of-the-art 3D reconstruction methods to establish baseline 3D models. Implement existing methods to effectively project thermal imagery onto these 3D models, ensuring accurate representation of thermal properties on 3D surfaces.
- Investigate how various 3D representations (such as depth, mesh, point cloud, voxel, and signed distance functions) can be adapted to accommodate thermal properties.
- _Extended Goal: Develop strategies to address the challenges of integrating unpaired RGB and thermal imagery, enhancing the method's capability to synthesize these disparate data types._
- Develop a comprehensive understanding of both RGB and thermal imaging, focusing on their similarities and differences, along with associated preprocessing techniques (e.g.,data collection, normalization, alignment, calibration, etc.). - Apply classic and state-of-the-art 3D reconstruction methods to establish baseline 3D models. Implement existing methods to effectively project thermal imagery onto these 3D models, ensuring accurate representation of thermal properties on 3D surfaces. - Investigate how various 3D representations (such as depth, mesh, point cloud, voxel, and signed distance functions) can be adapted to accommodate thermal properties. - _Extended Goal: Develop strategies to address the challenges of integrating unpaired RGB and thermal imagery, enhancing the method's capability to synthesize these disparate data types._
- M.Sc. Chenghao Xu - chenghao.xu@epfl.ch
- Prof. Olga Fink - olga.fink@epfl.ch
- M.Sc. Chenghao Xu - chenghao.xu@epfl.ch - Prof. Olga Fink - olga.fink@epfl.ch
Student_Project.pdf
