Research on rapid loading and measuring method of panorama based on depth image

Lili Guo; Rufei Liu; Bing Liu; Yuan Su; Chao Xu

doi:10.1117/12.3007527

30 August 2023 Research on rapid loading and measuring method of panorama based on depth image

Lili Guo, Rufei Liu, Bing Liu, Yuan Su, Chao Xu

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127971K (2023) https://doi.org/10.1117/12.3007527
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

With the rapid development of virtual reality as well as geographic information technology, panoramic technology has achieved wide application. For the problems of slow loading speed of large panorama and the lack of measurement function of 2D images, this paper proposes a multi-level pyramid model based on spherical projection. Firstly, the 3D laser point cloud data is transformed by coordinates and projection to generate the depth image corresponding to the panorama, and the 3D application value of the panorama is explored; then, the panoramic images are compressed and sliced to form multi-level panoramic tiles and construct a grid sphere model; finally, the 2D panoramic image is mapped into the 3D grid sphere for rendering according to the vertex coordinates, and slices within the corresponding range are loaded according to the viewing area during browsing. The experimental results indicate that the sliced model significantly improves loading and display speed compared to loading the entire panoramic image, which has strong application value.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lili Guo, Rufei Liu, Bing Liu, Yuan Su, and Chao Xu "Research on rapid loading and measuring method of panorama based on depth image", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127971K (30 August 2023); https://doi.org/10.1117/12.3007527

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