Detekce zdrojů světla v HDR enviromentálních mapách
| Thesis title in Czech: | Detekce zdrojů světla v HDR enviromentálních mapách |
|---|---|
| Thesis title in English: | Light source detection in HDR environment maps |
| Academic year of topic announcement: | 2024/2025 |
| Thesis type: | Bachelor's thesis |
| Thesis language: | |
| Department: | Department of Software and Computer Science Education (32-KSVI) |
| Supervisor: | Mgr. Lucia Tódová |
| Author: |
| Guidelines |
| The goal of the thesis is to create a system capable of distinguishing light sources in HDR environment maps and determining their effect on individual pixels. The system will take both indoor and outdoor HDR environment maps as input, and will output a segmented version of said map. Every segment will contain a light source and pixels whose emissive properties are mainly due to the light source.
Visualizations of pixels of HDR environment maps in the RGB space strongly suggest that visible pixel clusters correspond to the desired output segments. Therefore, the main focus of the thesis will be on existing 3D clustering algorithms and their utilization. |
| References |
| Madhulatha, T. Soni. "An overview on clustering methods." arXiv preprint arXiv:1205.1117 (2012).
Flesch, Peter. Light and light sources. Springer Berlin Heidelberg, 2006. Xu, Rui, and Donald Wunsch. "Survey of clustering algorithms." IEEE Transactions on neural networks 16.3 (2005): 645-678. Weng, Ching-Chih, Homer Chen, and Chiou-Shann Fuh. "A novel automatic white balance method for digital still cameras." 2005 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2005. |