Reconstruction of Human Body Pose and Appearance Using Body-Worn IMUs and a Nearby Camera View for Collaborative Egocentric Telepresence
- Authors
- Zhang, Qian; Paruchuri, Akshay; Cha, YoungWoon; Huang, Jiabin; Kandel, Jade; Jiang, Howard; Ilie, Adrian; State, Andrei; Szafir, Danielle Albers; Szafir, Daniel; Fuchs, Henry
- Issue Date
- Mar-2023
- Publisher
- IEEE COMPUTER SOC
- Keywords
- Computing methodologies-Artificial intelligence-Computer vision Reconstruction; Computing methodologies Machine learning-Machine learning approaches-Neural networks
- Citation
- 2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW, pp 96 - 97
- Pages
- 2
- Journal Title
- 2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW
- Start Page
- 96
- End Page
- 97
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/91953
- DOI
- 10.1109/VRW58643.2023.00025
- Abstract
- We envision a future in which telepresence is available to users anytime and anywhere, enabled by sensors and displays embedded in accessories worn daily, such as watches, jewelry, belt buckles, shoes, and eyeglasses. We present a collaborative approach to 3D reconstruction that combines a set of IMUs worn by a target person with an external view from another nearby person wearing an AR headset, used for estimating the target person's body pose and reconstructing their appearance, respectively.
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