An overview of 3D integral imaging-based human gesture recognition under degraded environments: comparison between 3D integral imaging and RGB-D sensors

G. Krishnan; Y. Huang; R. Joshi; B. Javidi

doi:10.1117/12.3013549

7 June 2024 An overview of 3D integral imaging-based human gesture recognition under degraded environments: comparison between 3D integral imaging and RGB-D sensors

G. Krishnan, Y. Huang, R. Joshi, B. Javidi

Author Affiliations +

Proceedings Volume 13041, Three-Dimensional Imaging, Visualization, and Display 2024; 130410I (2024) https://doi.org/10.1117/12.3013549
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

We present an overview of the 3D integral imaging based human recognition under degraded environments and its performance comparison with that of RGB-D sensors. In this work, we considered the problem of continuous gesture recognition under degradations such as partial occlusion. The 3D integral imaging helps to improve the recognition under these degradations which has been demonstrated through experimental results. Additionally, its performance is better compared to that of RGB-D sensors under the experimental conditions considered.

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

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G. Krishnan, Y. Huang, R. Joshi, and B. Javidi "An overview of 3D integral imaging-based human gesture recognition under degraded environments: comparison between 3D integral imaging and RGB-D sensors", Proc. SPIE 13041, Three-Dimensional Imaging, Visualization, and Display 2024, 130410I (7 June 2024); https://doi.org/10.1117/12.3013549

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