Abstract
Researches on spatial cognition have shown human often need landmarks for an easy and successful wayfinding. For indoor navigation systems, landmark information is also important to improve their usability. However relatively little effort has been devoted to indoor landmarks from either theoretical side or practical side. In this paper we introduced several relevant theories, i.e. spatial cognition, affordance theory and space syntax, as basis to elaborate visual, semantic and structural salience indicators. The proposed indicators are used to form a computational indoor landmark extraction method. The feasibility of this method is proved by a case study.
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The authors gratefully appreciate financial support from China Scholarship Council.
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Lyu, H., Yu, Z., Meng, L. (2015). A Computational Method for Indoor Landmark Extraction. In: Gartner, G., Huang, H. (eds) Progress in Location-Based Services 2014. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-11879-6_4
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DOI: https://doi.org/10.1007/978-3-319-11879-6_4
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