Application of a semantic segmentation method based on deep learning in unity scene construction

Jiangyuan Qi; Hui Li

doi:10.1117/12.2684160

1 August 2023 Application of a semantic segmentation method based on deep learning in unity scene construction

Jiangyuan Qi, Hui Li

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 1275431 (2023) https://doi.org/10.1117/12.2684160
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

This paper proposes the application of deep learning-based semantic segmentation in Unity scene construction as a means to enhance efficiency and quality. By automatically recognizing and segmenting various objects in an image, this method enables developers to rapidly generate 3D models and textures for the scene. The study showcases the effectiveness of the proposed technique in reducing the time and effort required for scene construction through experiments conducted within Unity.

Citation Download Citation

Jiangyuan Qi and Hui Li "Application of a semantic segmentation method based on deep learning in unity scene construction", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 1275431 (1 August 2023); https://doi.org/10.1117/12.2684160

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