Performance comparison of point feature detectors and descriptors for visual navigation on Android platform
[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee
2014
paper
english
- point features
- detectors
- descriptors
- mobile devices
EN Consumer electronics mobile devices, such like smartphones and tablets, are quickly growing in computing power and become equipped with advanced sensors. This makes a modern mobile device a viable platform for many computation-intensive, real-time applications. In this paper we present a study on the performance and robustness of point features detection and description in images acquired by a mobile device in the context of visual navigation. This is an important step towards infrastructure-less indoor self-localization and user guidance using only a smartphone or tablet. We rigorously evaluate the performance of several interest point detector and descriptor pairs on three different Android devices, using image sequences from publicly available robotics-related data sets, as well as our own data set obtained using a smartphone.
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