VSI proposes the development of the SIGMA (Speedy Imagery Geo-registration and Motion Analysis) system, which will address three key requirements by the end of Phase II: (i) adapt to different type of sensors, sensor-configurations and sensor operating conditions, (ii) handle large amount of data in real-time or close to real-time using limited resources, and (iii) operate under conditions such as lack of metadata in case of GPS-denied areas and linear, unbounded trajecto-ries. The central tenet of the proposed approach will be formation of a graph where the nodes will be a group of images and these nodes will be connected to each other if there is a spatial or temporal connectivity. Furthermore, the development in Phase II will leverage Phase I develop-ments, specifically the robust online SFM system, which was successfully tested on multiple da-tasets such as CLIF 2007, MAMI and synthetic datasets, and (ii) the demonstrated feasibility of the dynamic graph- representation to handle large amounts of image data and variable camera geometry constraints. The proposed system is a plugin-based framework which will allow each of the components to be replaced by different implementations or algorithms to allow the system to work flexibly under different operating conditions.
Benefit: Real-time mapping of aerial imagery for urban planning, construction and disaster relief and real-time traffic updates.
Keywords: Graph Optimization, Spatio-Temporal Buindles, Opencl, Gps-Denied Areas, Camera Arrays, Sigma