The increasing immersion of technology on our daily lives demands for additional investments in various areas, including, as in the present case, the enhancement of museums’ experiences. One of the technologies that improves our relationship with everything that surrounds us is Augmented Reality. This paper presents the architecture of MIRAR, a Mobile Image Recognition based Augmented Reality framework. The MIRAR framework allows the development of a system that uses mobile devices to interact with the museum’s environment, by: (a) recognizing and tracking on-the-fly, on the client side (mobile), museum’s objects, (b) detecting and recognizing where the walls and respective boundaries are localized, as well as (c) do person detection and segmentation. These objects, wall and person segmentation will allow the projection of different contents (text, images, videos, clothes, etc.). Promising results are presented in these topics, nevertheless, some of them are still in a development stage.
CITATION STYLE
Rodrigues, J. M. F., Veiga, R. J. M., Bajireanu, R., Lam, R., Pereira, J. A. R., Sardo, J. D. P., … Bica, P. (2018). Mobile augmented reality framework - MIRAR. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10908 LNCS, pp. 102–121). Springer Verlag. https://doi.org/10.1007/978-3-319-92052-8_9
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