Open AccessUM SISTEMA COLABORATIVO BASEADO EM INTELIGÊNCIA COLETIVA E RECONHECIMENTO DE OBJETOS DE LOCAIS PÚBLICOS E TURÍSTICOS
Author(s) -
Adolfo Bocchi,
Francisco Assis da Silva,
Mário Augusto Pazoti,
Danillo Roberto Pereira,
Leandro Luiz de Almeida,
Almir Olivette Artero
Publication year - 2015
Publication title -
colloquium exactarum
Language(s) - English
Resource type - Journals
ISSN - 2178-8332
DOI - 10.5747/ce.2015.v07.n2.e115
Subject(s) - humanities , political science , computer science , art
This paper proposes a collaborative system for keeping\udthe public and tourist sites of consumers access to historical and\udcultural information about the objects that make up these sites. With\udthis collaborative system it is possible through a mobile application to\udget the image of an object of public and tourist site, and send to a\udWebService, which performs detection and recognition, and shares the\udhistorical and cultural information related to the highlighted object in\udthe picture. For this, the collaborative system uses the algorithm SIFT\udand RANSAC and uses the concepts of collective intelligence sharing in\udthe historical and cultural information. Experiments were performed\udwith images of public and tourist sites objects to test the proposed\udmethodology.\ud\u