Innovative Approaches to Real-Time Occlusion Handling for Enhanced Augmented Reality Experiences

Occlusion is a critical aspect of augmented reality and mixed reality systems, profoundly impacting realism and the user experience. This research paper explores various techniques and optimizations to generate better occlusion output on augmented and mixed reality systems in real time, the proposed techniques helped us build better occlusion effects suitable for dynamic environmental objects and human subjects. Our approach successfully integrated dynamic and stable occlusion through the integration of Lightship ARDK which leverages the depth sensors in real-time producing stable occlusions. Additionally, various optimizations were applied to enhance occlusion output without sacrificing performance or accuracy. Notably, the implementation of occlusion by semantically segmenting and suppressing unwanted objects from the environment yielded better results compared to other techniques, which further improved upon the performance of the occlusion on mobile devices.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/ssitcon62437.2024.10797111
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
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article

Innovative Approaches to Real-Time Occlusion Handling for Enhanced Augmented Reality Experiences

Sushil Kamboj, Shivam Hans, Priyanshu Bhattacharjee
Augmented Reality Applications
article

Innovative Approaches to Real-Time Occlusion Handling for Enhanced Augmented Reality Experiences

Sushil Kamboj, Shivam Hans, Priyanshu Bhattacharjee
article en

Abstract

Occlusion is a critical aspect of augmented reality and mixed reality systems, profoundly impacting realism and the user experience. This research paper explores various techniques and optimizations to generate better occlusion output on augmented and mixed reality systems in real time, the proposed techniques helped us build better occlusion effects suitable for dynamic environmental objects and human subjects. Our approach successfully integrated dynamic and stable occlusion through the integration of Lightship ARDK which leverages the depth sensors in real-time producing stable occlusions. Additionally, various optimizations were applied to enhance occlusion output without sacrificing performance or accuracy. Notably, the implementation of occlusion by semantically segmenting and suppressing unwanted objects from the environment yielded better results compared to other techniques, which further improved upon the performance of the occlusion on mobile devices.

Chandigarh University (IN)
Openalex Percentile: Top 77%
Augmented Reality Applications
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