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This paper presents a new solution to the problem of simultaneous localization and mapping (SLAM). Traditional extended Kalman filter (EKF) based SLAM (EKF-SLAM) algorithms describe unknown environments with simple geometric elements, such as points for landmarks. This limits the EKF-SLAM to environments suited to such models and tends to discard much potentially useful data. The solution proposed...
This paper presents a dynamic approach to document page segmentation. Current page segmentation algorithms lack the ability to dynamically adapt local variations in the size, orientation and distance of components within a page. Our approach builds upon one of the best algorithms, Kise et. al. work based on Area Voronoi Diagrams, which adapts globally to page content to determine algorithm parameters...
We propose a heuristic method for computing Steiner triangulations without small and large angles. Given a two-dimensional domain, a minimum angle constraint alpha and a maximum angle constraint gamma, our methodcomputes a triangulation of the domain such that all angles are in the interval [alpha, gamma]. Previously known Steiner triangulation methods generally consider a lower bound alpha only,...
Multi-process bidirectional heuristic search algorithms that utilize island nodes (such as PBA*) have been shown to have the potential for exponential speedup over their plain counterparts that do not utilize island nodes. However, the performance of the former can dramatically degrade if the island nodes are not appropriately placed in the state space prior to the beginning of such algorithms. The...
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