Visual Computing
Visual Computing is engaged in the generation, processing and analysis of digital images. By combining computer graphics and computer vision in applied research we develop innovative solutions in the field of augmented reality, virtual reality and interactive information visualization.
Competences
Visual Computing combines skills in image processing and computer graphics to leverage the technologies of image-based analysis, geometric modeling, as well as virtual and augmented reality in novel application scenarios within applied research projects.
- Computer Graphics & Computer Vision
- Augmented Reality / Mixed Reality / Virtual Reality
- Interactive Information Visualisation
- Visualisation of Health Data & Medical Image Analysis
Current research topics
Mobile AR & AR Cloud
- Smart User Interfaces for AR: multi-modal, context-aware, gesture-based, sonification
- Persistent augmentation of outdoor & indoor environments
- Searchable and shareable augmented realities using re-registerable features & point clouds
- Sharing AR content via cloud, Social AR, collaborative real-time AR/VR
- The ARchi VR App
User-generated AR Content
- On-site, user-driven capturing of spatial information
- Authoring tools for AR content
- Spatial computing & content generation
- Machine Learning for automatic filtering and content synthesis
- AR & Art
Quality Assurance & Testing of AR Apps
- Logging of AR Apps (screen recording, event analysis, automatic tests)
- Post-hoc inspecting of AR applications
- Repository of ARlog project
mHealth & Visualization of Medical Data
- Mobile Health Apps
- Interactive visualization of health data
- ZHAW Digital Health Lab
Projects
- AR Patterns
Event-driven Design Patterns in Creating Augmented Reality Experiences - Digital Health Zurich
A practice lab for patient-centred clinical innovation - Mixed Reality in plant engineering
- Surgical Proficiency
Data-driven transformation of surgical education for proficiency-based performance - MMIP
Modularisierte Plattform für Medizinische Bilddaten - varcu
virtual and augmented reality curation - DeepScore
Digital Music Stand with Musical Understanding via Active Sheet Technology - SIDAC2
System for the intergral, data-based asset-controlling of real estate - Pipeline für 3D-Animationsfilm- und Visual Effects Studios
Automated processing pipeline for small 3D animation studios und VFX studios
Previous research projects
- VR-based Surgical Simulation of Knee Arthroscopy
VR-based training of surgical operations supporting minimal invasive hysteroscopy and arthroscopy. Partners: Virtamed AG; Vision Lab, ETHZ; Hospital Balgrist. Funding 2001-2013 by SNF & KTI
Team
Associate Experts
Dr. Helmut Grabner, ZHAW IDP: Computer Vision and Machine Learning
Peter Hug, ZHAW ZPP: 3D CAD & Virtual Reality
Dr. Reto Knaack, ZHAW MSE: Virtual Reality & Education