An Original Application of Image Recognition Based Location in Complex Indoor Environments
AbstractThis paper describes the first results of an image recognition based location (IRBL) for a mobile application focusing on the procedure to generate a database of range images (RGB-D). In an indoor environment, to estimate the camera position and orientation, a prior spatial knowledge of the surroundings is needed. To achieve this objective, a complete 3D survey of two different environments (Bangbae metro station of Seoul and the Electronic and Telecommunications Research Institute (ETRI) building in Daejeon, Republic of Korea) was performed using a LiDAR (Light Detection and Ranging) instrument, and the obtained scans were processed to obtain a spatial model of the environments. From this, two databases of reference images were generated using specific software realised by the Geomatics group of Politecnico di Torino (ScanToRGBDImage). This tool allows us to generate synthetically different RGB-D images centred in each scan position in the environment. Later, the external parameters (X, Y, Z, ω,
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Chiabrando, F.; Di Pietra, V.; Lingua, A.; Cho, Y.; Jeon, J. An Original Application of Image Recognition Based Location in Complex Indoor Environments. ISPRS Int. J. Geo-Inf. 2017, 6, 56.
Chiabrando F, Di Pietra V, Lingua A, Cho Y, Jeon J. An Original Application of Image Recognition Based Location in Complex Indoor Environments. ISPRS International Journal of Geo-Information. 2017; 6(2):56.Chicago/Turabian Style
Chiabrando, Filiberto; Di Pietra, Vincenzo; Lingua, Andrea; Cho, Youngsu; Jeon, Juil. 2017. "An Original Application of Image Recognition Based Location in Complex Indoor Environments." ISPRS Int. J. Geo-Inf. 6, no. 2: 56.
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