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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Saliency-Based Keypoint Reduction for Augmented-Reality Applications in Smart Cities
verfasst von : Simone Buoncompagni, Dario Maio, Davide Maltoni, Serena Papi
Erschienen in: New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
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In this paper we show that Saliency-based keypoint selection makes natural landmark detection and object recognition quite effective and efficient, thus enabling augmented reality techniques in a plethora of applications in smart city contexts. As a case study we address a tour of a museum where a modern smart device like a tablet or smartphone can be used to recognize paintings, retrieve their pose and graphically overlay useful information.