Research Projects

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Show Keywords: 3D Computer Vision 3D reconstruction Aerial Vision Augmented Reality Augmented Video Best Paper Award Biometrics Caleydo Computer Graphics Computer Vision Convex Optimization Coordinate transformations detection face Fingerprint Georeferencing GPU GUI HOG Human Computer Interaction Image Labelling Industrial Applications Information Visualization integral imaging Interaction Interaction Design Machine Learning Medical computer vision Medical Visualization Mixed Reality Mobile computing Mobile phone Model Multi-Display Environments Multiple Perspectives Object detection Object recognition Object reconstruction Object Tracking On-Line Learning Robotics Segmentation Shape analysis shape from focus SLAM Software Projects Structure from Motion Surveillance SVM Symmetry Tracking Fusion Tracking, Action Recognition User Interfaces Variational Methods Virtual reality and augmented reality Visual Tracking Visualization

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Title	Abstract	Start	End
Doctoral Program for the Confluence of Graphics and Vision (details)	Computer vision and computer graphics constitute two closely related areas of research: Though both fields rely on the same physical and mathematical principles and on a common set of representations, they mainly differ in how these representations are built. Traditionally these two fields have been treated as separate academic discipline. Exploiting the commonalities between vision and graphics turns out to be a scientifically profitable endeavour. There are many examples of fruitfull combination of graphics and vision, but there is no systematic education of students (especially in Austria). Therefore, the goal of this doctoral program Confluence of Vision and Graphics is to educate highly talented PhD students in this interdisciplinary field and to teach them a common view of this challenging topic from the start. All proposed topics require a significant amount of vision and graphics. The students will be co-supervised jointly by one professor with vision and one professor with graphics expertise. The proposed educational program will ensure that the students will be trained to become future leading scientists, which will face the challenges of research excellence in the interdisciplinary area of graphics and vision, academic leadership, and social competence as a member of a particular research group as well as being a part of the global research network.	2007	2019
Application of Image Processing in Materials Science (details)	The purpose of the project is to develop a powerful tool for the investigation of the deformation and fracture behaviour of materials. It is an interdisciplinary project combining the fields of materials science and computer science. The aim of the project related to computer science, more precisely to computer vision is: To develop a system for the automatic reconstruction of surfaces from scanning electron stereophotograms, integrating various reconstruction techniques (shape from stereo, photometric stereo etc.). The system shall be especially appropriate for analyzing fracture surfaces and for recording the local deformation fields during in-situ loading experiments in the scanning electron microscope. Partnerlist: "Erich-Schmid-Institute for Solid State Physics, Austria":http://www.oeaw.ac.at/esi/	1998	2000
Integrated image analysis system for the early recognition of malignant melanoma (details)	The project aims at the creation of a computer image analysis workstation for clinical application. The workstation will receive Epiluminescence Microscopy digital images of pigmented skin lesions and information pertaining to a patient. This input will be converted into a proposed diagnosis of a lesion as malignant, benign or dysplastic, with an associated error probability.	1997	1998
Information Fusion in Image Understanding 2 (details)	This project has been the main support of research into theory and foundations of image understanding at ICG since 1994. The main goal of is research in theory and methodology of selection and combination of visual information in image understanding. Information fusion has become a crucial task in sensor fusion, as well as in all areas of computer vision, where active systems are employed and continuously producing ambiguous, imprecise, incomplete, sometimes even contradictory visual information. Within this research project, mathematical frameworks of probability theory, Dempster Shafer theory of evidence, and Fuzzy set theory have been investigated for their applicability in different cases of fusion. Current research in this project aims at generic active object recognition.	1994	1998
Mapping the Human Retina (details)	The purpose of this project is to successfully demonstrate the application of our general concept of information fusion in image understanding. The medical motivation lies in the extremely difficult diagnostic assessment of age-related macular degeneration (AMD). Currently, six different Scanning Laser Ophthalmoscope (SLO) imaging procedures are used for a complete diagnostic data acquisition at the Vienna Eye Clinic. Starting from this dataset, the correct diagnosis can be drawn by extraction and superposition of important retinal features. The features have to be extracted from several source images, but only information fusion of the different contents can yield the map of anatomical features and pathological changes.
Information Fusion in Image Understanding (details)	The main goal of this project is to develop a new system for information fusion in image understanding which can deal with selection and combination of uncertain visual information. The system is active in the sense that at each step of processing it can select and request the most promising next source of information. Thus, it will be a powerful new mechanism for the efficient control of an image understanding system.