PixelGen: Rethinking Embedded Cameras for Mixed-Reality

Mixed-reality headsets offer new ways to perceive our environment. They employ visible spectrum cameras to capture and display the environment on screens in front of the user's eyes. However, these cameras lead to limitations. Firstly, they capture only a partial view of the environment. They are positioned to capture whatever is in front of the user, thus creating blind spots during complete immersion and failing to detect events outside the restricted field of view. Secondly, they capture only visible light fields, ignoring other fields like acoustics and radio that are also present in the environment. Finally, these power-hungry cameras rapidly deplete the mixed-reality headset's battery. We introduce PixelGen to rethink embedded cameras for mixed-reality headsets. PixelGen proposes to decouple cameras from the mixed-reality headset and balance resolution and fidelity to minimize the power consumption. It employs low-resolution, monochrome image sensors and environmental sensors to capture the surroundings around the headset. This approach reduces the system's communication bandwidth and power consumption. A transformer-based language and image model process this information to overcome resolution trade-offs, thus generating a higher-resolution representation of the environment. We present initial experiments that show PixelGen's viability.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3696216
Citations
2
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.42
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article

PixelGen: Rethinking Embedded Cameras for Mixed-Reality

Shantanu Chakrabarty, Ambuj Varshney, Kunjun Li, Dhairya Shah et al.
2 citations
CCD and CMOS Imaging Sensors
0.42
article

PixelGen: Rethinking Embedded Cameras for Mixed-Reality

Shantanu Chakrabarty, Ambuj Varshney, Kunjun Li, Dhairya Shah, Manoj Gulati, Steven Waskito
article en
2 citations

Abstract

Mixed-reality headsets offer new ways to perceive our environment. They employ visible spectrum cameras to capture and display the environment on screens in front of the user's eyes. However, these cameras lead to limitations. Firstly, they capture only a partial view of the environment. They are positioned to capture whatever is in front of the user, thus creating blind spots during complete immersion and failing to detect events outside the restricted field of view. Secondly, they capture only visible light fields, ignoring other fields like acoustics and radio that are also present in the environment. Finally, these power-hungry cameras rapidly deplete the mixed-reality headset's battery. We introduce PixelGen to rethink embedded cameras for mixed-reality headsets. PixelGen proposes to decouple cameras from the mixed-reality headset and balance resolution and fidelity to minimize the power consumption. It employs low-resolution, monochrome image sensors and environmental sensors to capture the surroundings around the headset. This approach reduces the system's communication bandwidth and power consumption. A transformer-based language and image model process this information to overcome resolution trade-offs, thus generating a higher-resolution representation of the environment. We present initial experiments that show PixelGen's viability.

National University of Singapore (SG)
Openalex Percentile: Top 36%
CCD and CMOS Imaging Sensors
0.42
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PixelGen: Rethinking Embedded Cameras for Mixed-Reality — Shantanu Chakrabarty, Ambuj Varshney, et al. · (2024) | TGRS Research Map | TGRS