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We describe an efficient method to detect and track planar objects using a template of edge segments. Such segments are selected at multiple scales based on gradient magnitude; their positions and orientations are used to determine a canonical reference frame where the descriptor is computed based on quantized orientation. The resulting descriptors are efficiently matched using logical operations,...
We describe a method to select edgels and to calculate gradient orientation-based template descriptors for edgel features. An edgel is selected within a grid block based on gradient magnitude; its position and orientation are used to determine a canonical frame where the descriptor is computed based on quantized orientation. The resulting descriptor is efficiently matched using logical operations...
We describe a method to select edgels and to calculate gradient orientation-based template descriptors for edgel features. An edgel is selected within a grid block based on gradient magnitude; its position and orientation are used to determine a canonical frame where the descriptor is computed based on quantized orientation. The resulting descriptor is efficiently matched using logical operations...
We describe a novel markerless camera tracking approach and user interaction methodology for augmented reality (AR) on unprepared tabletop environments. We propose a real-time system architecture that combines two types of feature tracking methods. Distinctive image features of the scene are detected and tracked frame- to-frame by computing optical flow. In order to achieve real-time performance,...
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