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DETECÇÃO, RECONHECIMENTO E GEORREFERENCIAMENTO DE LOGOTIPOS

Authors: Letícia Aparecida de Moura Camelo; Francisco Assis da Silva; Ricardo Luís Barbosa; Mário Augusto Pazoti; Leandro Luiz de Almeida;

DETECÇÃO, RECONHECIMENTO E GEORREFERENCIAMENTO DE LOGOTIPOS

Abstract

Sistemas Móveis de Mapeamento (SMM) Terrestres coletam dados para o mapeamento de vias e para alimentação de sistemas de informações geográficas. Eles integram sensores de imageamento digital, navegação e posicionamento embarcados, com isto fazem a coleta de dados para mapeamento de ruas e avenidas das cidades e possibilita o georreferenciamento dessas informações com rapidez, eficiência e economia de recursos. Uma das aplicações de um SMM é o georreferenciamento de pontos de interesse, como lojas, bancos etc. Porém, existem situações onde o trânsito de veículos não é permitido e o georreferenciamento tem que ser feito de forma manual. Este trabalho apresenta uma aplicação para a detecção e reconhecimento de logotipos, como o de grandes estabelecimentos comerciais, e georreferenciar os logotipos reconhecidos de maneira automática utilizando os recursos de um dispositivo móvel. Foram utilizados os algoritmos SIFT e RANSAC para a detecção e reconhecimento do logotipo em uma imagem obtida com a câmara do dispositivo móvel e para o georreferenciamento foi utilizado o GPS do próprio dispositivo móvel. Os resultados dos experimentos mostram que é possível o uso de um dispositivo móvel para realização do georreferenciamento de pontos de interesse onde o SMM não consegue trafegar.

Related Organizations
Keywords

Science (General), Georreferenciamento, Reconhecimento de objetos, Engineering (General). Civil engineering (General), object recognition, georeferencing, Q1-390, Mapeamento móvel, mobile mapping, SIFT, TA1-2040

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold