Shadow recovery based on panorama complex environment

Xiu Ji; Hauming Yang; Cheng Ha; Faming Hou; Yang Bai

doi:10.1117/12.3021497

19 February 2024 Shadow recovery based on panorama complex environment

Xiu Ji, Hauming Yang, Cheng Ha, Faming Hou, Yang Bai

Proceedings Volume 13063, Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023); 1306314 (2024) https://doi.org/10.1117/12.3021497
Event: Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023), 2023, Changchun, China

Abstract

In augmented reality, the visual consistency of virtual-real fusion is a difficult problem. For the problem of detecting and generating information about the shadows of virtual objects in complex scenes from a single viewpoint, a method is proposed to achieve the consistency of lighting on virtual objects based on a panoramic view, which makes up for the shortcomings of shadow information collection in complex real environments from a single viewpoint. First, the T-ORB algorithm is used for image stitching to generate the panorama. Then, the shaded information of the real environment is fully collected based on the panoramic view of the complex environment. Finally, the registration of virtual objects is completed according to the transformation matrix and rendered in combination with the shadow body. Experiments prove that the method proposed in this paper achieves shadow rendering of virtual objects, which greatly improves visual consistency and has obvious advantages in rendering time.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiu Ji, Hauming Yang, Cheng Ha, Faming Hou, and Yang Bai "Shadow recovery based on panorama complex environment", Proc. SPIE 13063, Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023), 1306314 (19 February 2024); https://doi.org/10.1117/12.3021497

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