Visual Signature for Place Recognition in Indoor Scenarios

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Filipe Neves Santos (Autor) FEUP; Paulo Gomes da Costa (Autor) FEUP; António Paulo Moreira (Autor) FEUP

Ata de Conferência Internacional

Título: Lecture Notes in Electrical Engineering

Páginas: 647-656

11th Portuguese Conference on Automatic Control, CONTROLO 2014

Porto, 21 July 2014 through 23 July 2014

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-009-TQ1

DOI: 10.1007/978-3-319-10380-8_62

Abstract (EN): Recognizing a place with a visual glance is the first capacity used by humans to understand where they are. Making this capacity available to robots will make it possible to increase the redundancy of the localization systems available in the robots, and improve semantic localization systems. However, to achieve this capacity it is necessary to build a robust visual signature that could be used by a classifier. This paper presents a new approach to extract a global descriptor from an image that can be used as the visual signature for indoor scenarios. This global descriptor was tested using videos acquired from three robots in three different indoor scenarios. This descriptor has shown good accuracy and computational performance when compared to other local and global descriptors.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10