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- W4306178410 abstract "In this work, we present, Wi-Mesh, a WiFi vision-based 3D human mesh construction system. Our system leverages the advances of WiFi to visualize the shape and deformations of the human body for 3D mesh construction. In particular, it estimates the two-dimensional angle of arrival (2D AoA) of the WiFi signal reflections to enable WiFi devices to see the physical environment as we humans do. It then extracts only the images of the human body from the physical environment, and leverages deep learning models to digitize the extracted human body into 3D mesh representation. Experimental evaluation under various indoor environments shows that Wi-Mesh achieves an average vertices location error of 2.58cm and joint position error of 2.24cm." @default.
- W4306178410 created "2022-10-14" @default.
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- W4306178410 date "2022-10-14" @default.
- W4306178410 modified "2023-10-15" @default.
- W4306178410 title "A wifi vision-based 3D human mesh reconstruction" @default.
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- W4306178410 doi "https://doi.org/10.1145/3495243.3558247" @default.
- W4306178410 hasPublicationYear "2022" @default.
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