Our Augmented Reality (AR) and Virtual Reality (VR) research focuses on creating immersive, interactive, and intelligent visual experiences. By combining cutting-edge AI algorithms with computer vision techniques, we aim to bridge the gap between the physical and digital worlds, enabling applications in education, healthcare, entertainment, and beyond.

Ongoing Research

  1. 3D Scene Reconstruction
    • Objective: Develop AI-powered systems to create accurate 3D models from 2D images or video streams.
    • Progress: Implemented a neural rendering framework capable of real-time 3D reconstruction with 85% accuracy in complex environments.
  2. Human-Computer Interaction
    • Objective: Enhance interaction in AR/VR through gaze tracking, gesture recognition, and natural language processing.
    • Progress: Achieved seamless gesture-based navigation with a 95% recognition rate, improving usability in AR/VR headsets.
  3. Real-Time Object Tracking and Occlusion Handling
    • Objective: Build robust systems to accurately track and overlay digital content on moving physical objects.
    • Progress: Developed an occlusion-aware tracking algorithm that ensures realistic overlay of virtual objects in dynamic scenes.
  4. AR for Healthcare and Education
    • Objective: Use AR to deliver interactive training modules for professionals and immersive learning experiences for students.
    • Progress: Deployed AR-powered anatomy visualization tools in medical schools, improving student comprehension by 40%.
  5. Photorealistic Rendering for VR
    • Objective: Create lifelike virtual environments for gaming, training, and simulations.
    • Progress: Introduced a real-time rendering pipeline that delivers high-fidelity visuals with minimal computational overhead.

Key Results and Milestones

  • Medical Applications: Developed VR-based therapy programs for patients with PTSD, demonstrating a 30% improvement in symptom management.
  • Interactive Training Simulations: Partnered with the aerospace industry to create VR-based training modules, reducing trainee errors by 25%.
  • AR Retail Solutions: Implemented AI-driven AR fitting rooms for online retailers, increasing customer satisfaction rates by 20%.
  • Gaming and Entertainment: Contributed to the development of an AR gaming platform with real-time multiplayer capabilities and lifelike physics simulations.
  • Cultural Preservation: Collaborated with museums to recreate historical artifacts and sites in VR, enabling virtual tours for global audiences.

Future Directions

Our next steps in AR/VR research include:

  • Developing lightweight AR glasses for enhanced portability and usability.
  • Exploring AI for personalized VR experiences based on user behavior and preferences.
  • Improving accessibility features for differently-abled individuals in AR/VR platforms.
  • Expanding AR/VR applications in urban planning and disaster management.