Abstract
3D registration plays a pivotal role in augmented reality (AR) system. The existing methods are not suitable to be applied directly in the mobile AR system for the built environment, with the reasons of poor real-time performance and robustness. This paper proposes an improved 3D registration method of mobile AR for built environment, which is based on SURFREAK and KLT. This method increases the building efficiency of algorithm descriptors and maintains the robustness of the algorithms. To implement and evaluate the registration method, a smart phone-based mobile AR system for built environment is developed. The experimental result shows that the improved method is endowed with higher real-time performance and robustness, and the mobile AR 3D registration can realize a favorable performance and efficiency in the complex built environment. The mobile AR system could be used in building recognition and information augmentation for built environment and further to facilitate location-based games, urban heritage tourism, urban planning, and smart city.
Highlights
Augmented reality (AR) refers to the organic integration of virtual information into the real-world scenes seen by the user [1], in which, mobile AR can enhance the user’s understanding and perception of the real world and, strengthen the user’s interaction with the real environment especially the built environment [2]
Wu et al [4] proposed a spatial information virtual-real registration method for hybrid hardware tracking and positioning to satisfy the demand for outdoor AR navigation; Li and Cheng [5] put forward a multisensor registration method based on the Android platform to be used in outdoor navigation
The current position information of the user is obtained by GPS of the mobile phone, and spatial retrieval is performed within a certain radius with this position as the center, to search for the building images in this space area, so as to carry out a coarse filtering of the matched images (Figure 5(a), number of matching pairs is 0)
Summary
Augmented reality (AR) refers to the organic integration of virtual information into the real-world scenes seen by the user [1], in which, mobile AR can enhance the user’s understanding and perception of the real world and, strengthen the user’s interaction with the real environment especially the built environment [2]. The method takes full advantage of the time sequence and correlation of the frames in video streams and tracks and predicts the natural feature points of the built environment using the optical flow tracking algorithm, thereby improving the real-time performance of 3D registration.
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