Welcome to the Homepage of the Computer Vision Lab (CVL)
The working group is part of the Institute of Computer Aided Automation, Faculty of Informatics, at the TU Wien, Austria. Our innovative, young lab (founded in May 2010), formerly part of the Pattern Recognition and Image Processing Group (PRIP), is headed by Prof. Robert Sablatnig.
We are devoted to both basic and applied research in the field of Computer Vision or in other words: We are teaching computers to “see”. Computer Vision comprehends the natural world through images, image sequences, and films and reconstructs its properties, such as shape, illumination, and colour distributions.
The theoretical backbones at CVL are:
- Image Processing, Feature Extraction and Object Recognition
- Document Analysis
- 3-D Computer Vision
- Motion Detection and Tracking
- Multi-Spectral Imaging (MSI)
- Machine Learning (Neural Networks, Adaptive Methods, etc.)
which we employ – to name a few – in applied research in the areas of
- Cultural Heritage Applications
- Ambient Assisted Living (AAL)
- Medical Imaging
- Micro-Array Image Analysis (e.g. in Biotechnology)
- Image Sequence Analysis
- Industrial Vision
- Face Recognition
- Image Compression
- and others…
Our second focus is on education and training of undergraduate and graduate students in Computer Science, including guidance and supervision of Bachelors, Masters, and PhD theses.
Computer Vision Lab has been playing an important role in various national and international research activities: Apart from participation in international research circles and scientific conferences, CVL coordinates an ERASMUS-programme and has over the years (co-)organised a number of peer reviewed international Computer Vision conferences, namely AAPR 2000, DAGM 2005, EVA 2006, CAIP 2007, EVA 2008, VSMM 2009, and AAPR 2010.
Above that, CVL has vast experience in running and leading municipal, national, as well as European projects.