000			01271nam a2200169Ia 4500
999			_c47225 _d47225
005			20200308073519.0
008			190927s9999 xx 000 0 und d
082			_aT H4301 2012
100			_aHernale, Sherlyn G.
245		0	_aIndoor place recognition for the blind
260			_a3
260			_b602
260			_c2012
520			_aNavigating inside building is a challenging task for the blind which often makes them dependent on others foe guidance. This study explores place recognition accessible via hand held devices to guide the visually impaired inside unfamiliar buildings. In computer vision, place recognition addresses the problem of identifying places based on appearance. The majority of this study focuses on implementing, evaluating, and enhancing place recognition algorithms for this application domain. The outcome of this study is a camera-based indoor blind-navigation model that can autonomously recognize previously mapped indoor locations. In the mapping or calibration phase, images of an indoor setting are collected, labeled, and mapped to specific locations in the indoor environment. The effectiveness of the system is evaluated by measuring the recall rate of the place recognition algorithm.
526			_a000-099
942			_cRB _2ddc