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.
Simone Buoncompagni, Dario Maio, Davide Maltoni, Serena Papi (2015). Saliency-based Keypoint Reduction for Augmented-Reality Applications in Smart Cities. Springer Verlag [10.1007/978-3-319-23222-5_26].
Saliency-based Keypoint Reduction for Augmented-Reality Applications in Smart Cities
BUONCOMPAGNI, SIMONE;MAIO, DARIO;MALTONI, DAVIDE;PAPI, SERENA
2015
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
