Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 1545-1553 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Visualization and Computer Graphics |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 17 Jan 2018 |
| Event | IEEE Conference on Virtual Reality and 3D User Interfaces - Reutlingen, Germany Duration: 18 Mar 2018 → 22 Mar 2018 Conference number: 25 http://ieeevr.org/2018/ |
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Keywords
- 360° scene capture
- 6 degrees-of-freedom (6-DoF)
- Head-motion parallax
- Image-based rendering
- Scene representation
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design
Cite this
Parallax360: Stereoscopic 360° Scene Representation for Head-Motion Parallax. / Luo, Bicheng; Xu, Feng; Richardt, Christian; Yong, Jun-Hai.
In: IEEE Transactions on Visualization and Computer Graphics, Vol. 24, No. 4, 17.01.2018, p. 1545-1553.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Parallax360: Stereoscopic 360° Scene Representation for Head-Motion Parallax
AU - Luo, Bicheng
AU - Xu, Feng
AU - Richardt, Christian
AU - Yong, Jun-Hai
PY - 2018/1/17
Y1 - 2018/1/17
N2 - We propose a novel 360° scene representation for converting real scenes into stereoscopic 3D virtual reality content with head-motion parallax. Our image-based scene representation enables efficient synthesis of novel views with six degrees-of-freedom (6-DoF) by fusing motion fields at two scales: (1) disparity motion fields carry implicit depth information and are robustly estimated from multiple laterally displaced auxiliary viewpoints, and (2) pairwise motion fields enable real-time flow-based blending, which improves the visual fidelity of results by minimizing ghosting and view transition artifacts. Based on our scene representation, we present an end-to-end system that captures real scenes with a robotic camera arm, processes the recorded data, and finally renders the scene in a head-mounted display in real time (more than 40 Hz). Our approach is the first to support head-motion parallax when viewing real 360° scenes. We demonstrate compelling results that illustrate the enhanced visual experience – and hence sense of immersion – achieved with our approach compared to widely-used stereoscopic panoramas.
AB - We propose a novel 360° scene representation for converting real scenes into stereoscopic 3D virtual reality content with head-motion parallax. Our image-based scene representation enables efficient synthesis of novel views with six degrees-of-freedom (6-DoF) by fusing motion fields at two scales: (1) disparity motion fields carry implicit depth information and are robustly estimated from multiple laterally displaced auxiliary viewpoints, and (2) pairwise motion fields enable real-time flow-based blending, which improves the visual fidelity of results by minimizing ghosting and view transition artifacts. Based on our scene representation, we present an end-to-end system that captures real scenes with a robotic camera arm, processes the recorded data, and finally renders the scene in a head-mounted display in real time (more than 40 Hz). Our approach is the first to support head-motion parallax when viewing real 360° scenes. We demonstrate compelling results that illustrate the enhanced visual experience – and hence sense of immersion – achieved with our approach compared to widely-used stereoscopic panoramas.
KW - 360° scene capture
KW - 6 degrees-of-freedom (6-DoF)
KW - Head-motion parallax
KW - Image-based rendering
KW - Scene representation
UR - http://www.scopus.com/inward/record.url?scp=85041679444&partnerID=8YFLogxK
U2 - 10.1109/TVCG.2018.2794071
DO - 10.1109/TVCG.2018.2794071
M3 - Article
VL - 24
SP - 1545
EP - 1553
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
SN - 1077-2626
IS - 4
ER -