A virtual-real occlusion based on monocular camera

Xiu Ji; Huamin Yang; Cheng Han; Faming Hou; Yang Bai

doi:10.1117/12.2674581

23 May 2023 A virtual-real occlusion based on monocular camera

Xiu Ji, Huamin Yang, Cheng Han, Faming Hou, Yang Bai

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126043L (2023) https://doi.org/10.1117/12.2674581
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

Virtual-real occlusion is a key step in augmented reality systems. The traditional virtual-real occlusion method has some problems, such as low accuracy and poor adaptation to the scene. On this basis, this paper proposes a virtual real occlusion method based on monocular camera. Firstly, AKAZE algorithm was combined with Tanimoto similarity estimation to find the optimal pair of feature points, and the relative depth of feature points on adjacent frames was calculated by using the triangulation method in SFM algorithm. Then, the real depth value was obtained by combining the translation scale. Finally, the depth value of virtual and real objects was compared to realize the virtual and real occlusion of monocular camera. The experimental results show that the virtual-real occlusion based on monocular camera is realized and the occlusion accuracy is high.

Citation Download Citation

Xiu Ji, Huamin Yang, Cheng Han, Faming Hou, and Yang Bai "A virtual-real occlusion based on monocular camera", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126043L (23 May 2023); https://doi.org/10.1117/12.2674581

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