Augmented reality navigation method based on indoor natural scene image deep learning

The invention discloses an augmented reality navigation method based on indoor natural scene image deep learning. The method comprises the steps of firstly scanning an indoor natural scene through a three-dimensional laser scanner to extract three-dimensional scene feature recognition points, then c...

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Hauptverfasser: SUN JIAXIN, TANG HAOCHEN, BO YINGJIE, LIU WEIWEI, CAO XINGWEN, LIAO ZONGYU, WU MENGQUAN, ZHANG CONGYING, ZHANG WENLIANG, TUO MINGYI, ZHAO ZIQI, NING XIANGYU, ZHOU HUILIN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses an augmented reality navigation method based on indoor natural scene image deep learning. The method comprises the steps of firstly scanning an indoor natural scene through a three-dimensional laser scanner to extract three-dimensional scene feature recognition points, then calculating an internal reference matrix of a smart phone camera, collecting an indoor natural sceneimage through a smart phone to extract two-dimensional image feature recognition points, and establishing an indoor natural scene topological network structure chart through an indoor planar map; binding and mapping the two-dimensional image feature recognition points, the three-dimensional scene feature recognition points and the topological network path nodes through specific descriptors; carrying out deep learning-based image classification on the indoor natural scene images acquired by the smart phone, and segmenting the indoor natural scene into a plurality of sub-scenes; and then tracking and recovering the thre