Hierarchical Image Retrieval Method Based on Bag-of-Visual-Word and Eight-point Algorithm with Feature Clouds for Visual Indoor Positioning

The advance of 5G has brought great convenience and opportunities for the application of visual indoor positioning in the Internet of Things, augmented reality, emergency rescue and other important fields, but its positioning performance still needs to be improved. In order to increase the accuracy and efficiency of the vision-based indoor localization system, we propose hierarchical image retrieval algorithm based on Bag-of-Visual-Word and eight-point algorithm with feature clouds for position estimation which can effectively refine the efficiency and accuracy of image retrieval and location estimation. The experimental results show that the proposed method can dramatically improve the real-time performance and accuracy of the visual positioning system.