Abstract
We propose a local orientation and navigation framework based on visual features that provide location recognition, context augmentation, and viewer localization information to a human user. Mosaics are used to map local areas to ease user navigation through streets and hallways, by providing a wider field of view (FOV) and the inclusion of more decisive features. Within the mosaics, we extract “visual noun” features. We consider 3 types of visual noun features: signage, visual-text, and visual-icons that we propose as a low-cost method for augmenting environments.
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Molina, E., Zhu, Z., Tian, Y. (2012). Visual Nouns for Indoor/Outdoor Navigation. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2012. Lecture Notes in Computer Science, vol 7383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31534-3_6
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DOI: https://doi.org/10.1007/978-3-642-31534-3_6
Publisher Name: Springer, Berlin, Heidelberg
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