| Title: |
Towards Fully Mobile 3D Face, Body, and Environment Capture Using Only Head-worn Cameras |
| Authors: |
Cha, Young-Woon; Price, True; Wei, Zhen; Lu, Xinran; Rewkowski, Nicholas; Chabra, Rohan; Qin, Zihe; Kim, Hyounghun; Su, Zhaoqi; Liu, Yebin; Ilie, Adrian; State, Andrei; Xu, Zhenlin; Frahm, Jan-Michael; Fuchs, Henry |
| Publisher Information: |
IEEE COMPUTER SOC |
| Publication Year: |
2018 |
| Collection: |
ScholarWorks@UNIST (Ulsan National Institute of Science and Technology) |
| Description: |
We propose a new approach for 3D reconstruction of dynamic indoor and outdoor scenes in everyday environments, leveraging only cameras worn by a user. This approach allows 3D reconstruction of experiences at any location and virtual tours from anywhere. The key innovation of the proposed ego-centric reconstruction system is to capture the wearer's body pose and facial expression from near-body views, e.g. cameras on the user's glasses, and to capture the surrounding environment using outward-facing views. The main challenge of the ego-centric reconstruction, however, is the poor coverage of the near-body views - that is, the user's body and face are observed from vantage points that are convenient for wear but inconvenient for capture. To overcome these challenges, we propose a parametric-model-based approach to user motion estimation. This approach utilizes convolutional neural networks (CNNs) for near-view body pose estimation, and we introduce a CNN-based approach for facial expression estimation that combines audio and video. For each time-point during capture, the intermediate model-based reconstructions from these systems are used to re-target a high-fidelity pre-scanned model of the user. We demonstrate that the proposed self-sufficient, head-worn capture system is capable of reconstructing the wearer's movements and their surrounding environment in both indoor and outdoor situations without any additional views. As a proof of concept, we show how the resulting 3D-plus-time reconstruction can be immersively experienced within a virtual reality system (e.g., the HTC Vive). We expect that the size of the proposed egocentric capture-and-reconstruction system will eventually be reduced to fit within future AR glasses, and will be widely useful for immersive 3D telepresence, virtual tours, and general use-anywhere 3D content creation. |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| ISSN: |
1077-2626 |
| Relation: |
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.24, no.11, pp.2993 - 3004; https://scholarworks.unist.ac.kr/handle/201301/59794; 41588; 2-s2.0-85053152977; 000449077900017 |
| DOI: |
10.1109/TVCG.2018.2868527 |
| Availability: |
https://scholarworks.unist.ac.kr/handle/201301/59794; https://doi.org/10.1109/TVCG.2018.2868527 |
| Accession Number: |
edsbas.1BA5562A |
| Database: |
BASE |