Communications of the ACM
Streaming from the Future
A team of researchers at Japan's Osaka University have developed a new algorithm based on machine learning that enables the use of augmented reality real-time video to demonstrate how a scene will look after a structure has been removed.
Credit: Takuya Kikuchi et al.
A machine learning system developed by researchers at Japan's Osaka University can remove buildings from a live view on a mobile device, which could speed up the process of urban renewal when various community stakeholders must come to an agreement.
The researchers used semantic segmentation on the input video to classify images pixel by pixel, speeding up the generative adversarial network algorithm to provide real-time augmented video.
In field tests, the researchers could stream virtual demolition video at an average of 5.71 frames per second.
Said Osaka University's Takuya Kikuchi, "Our method enables users to intuitively understand what the future landscape will look like, which can contribute to reducing the time and cost for forming a consensus."
From Research at Osaka University (Japan)
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Abstracts Copyright © 2022 SmithBucklin, Washington, DC, USA
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