Vision+ – Integrating visual information with independent knowledge
Today there is a high penetration of imaging technology in industry and real-world environments. Industrial machine vision, systems to observe persons and infrastructure, or simply highly portable image and video capturing devices in mobile phones or cars are only some examples.
On the one hand, the more visual information is captured and has to be observed, the more need for automatic processing emerges. On the other hand, despite the great advances of the last decade, computer vision tasks still lack of general applicability and robustness in complex scenarios. And still, the human cognition and learning ability is hard to compete for machine learning systems in flexible and complex environments. The result is a big gap between customer needs or unsolved challenges and technological availability, showing the high market potential for Vision+ research.
Vision+ is dedicated to narrow this gap by research activities focussing on integrating vision systems with additional knowledge from multi-modal sensors, spatio-temporal investigations, but also humans. Vision systems with humans in the loop (e.g. for providing limited training information) might on the one hand decrease autonomy but on the other hand provide increased robustness. In addition, the human might provide high-level model knowledge that can ease (e.g. reduce the number of samples) the training process. Research on modular vision system architectures guarantees to be flexible regarding exploitation of modern hardware platforms (i.e. GPGPU , multi-core, or mobile computing). The research on computer vision methods is complemented by measures specifically targeting the applicability in real-world scenarios, such as testing, sustainability and the emphasis on standards.
The consortium incorporates fundamental computer vision competences from academic and applied research groups. Highly innovative industry partners complete the consortium with their application oriented expertise.
At the end of Vision+ solutions for many of the currently unsolved challenges are expected. The results will definitely constitute a step towards zero-defect product quality assurance but also increase detection rate for object appearance and identification. More reliable vision systems will open the market for completely new applications. Besides, a lot of solutions will finally be developed, while computer vision research will still be confronted with most challenging topics even beyond the period of Vision+.
This K-Project Vision+ is funded in the context of COMET – Competence Centers for Excellent Technologies by BMVIT, BMWFW, Styrian Business Promotion Agency (SFG), Vienna Business Agency, Province of Styria – Government of Styria. The programme COMET is conducted by Austrian Research Promotion Agency (FFG).