Feature detection and matching towards augmented reality applications on mobile devices

In this work, a novel feature detection algorithm, a new local binary pattern for local binary description and a tree-based descriptor indexing for descriptor matching are proposed. Similar to well-known FAST detector, proposed feature detector performs detection via pixel intensity comparisons in nested circles. Interest point description is achieved by a novel comparison pattern, whereas matching is performed by a fuzzy decision tree. Based on simulations, it is observed that the proposed system performs competitive or better than the state-of-the-art similar techniques. Moreover, the overall system is capable of running in real-time in a 2.8GHz PC with this promising performance.