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Immersive Visual Analytics of Cultural Heritage Images

Primary supervisor

Kadek Satriadi

This project aims to create a novel immersive visual analytics system to facilitate the exploration and insights generation of thousands of cultural heritage images. Criteria for students:  

  • interest in immersive technology and cultural heritage,
  • strong dedication, 
  • basic knowledge of image analysis (e.g., segmentation, classification, clustering) and its technical skills (e.g., Python),
  • experience in Swift programming or Unity is desirable,
  • understanding of LLM/GenAI platforms and APIs is desirable.