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Yongtian Wang
Researcher at Beijing Institute of Technology
Publications - 358
Citations - 4216
Yongtian Wang is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Augmented reality & Holographic display. The author has an hindex of 27, co-authored 357 publications receiving 3010 citations. Previous affiliations of Yongtian Wang include Beijing Film Academy.
Papers
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Journal ArticleDOI
26.3: Volumetric Display System Using Multiple Mini‐Projectors
TL;DR: Low-speed and low-cost miniature display devices can be used in the mini-projectors to realize dynamic volumetric imaging with full color and high resolution.
Journal ArticleDOI
Sparse deformation prediction using Markove Decision Processes (MDP) for Non-rigid registration of MR image
Tianyu Fu,Qin Li,Jianjun Zhu,Danni Ai,Yong Huang,Hong Song,Yurong Jiang,Yongtian Wang,Jian Yang +8 more
TL;DR: The proposed framework rapidly registers the inter-subject brains and achieves the high mean Dice for the tissues of the brain.
Journal ArticleDOI
Acoustic geometric-phase meta-array
TL;DR: In this paper, the concept of acoustic geometric-phase meta-array was proposed by leveraging the conversion of orbital angular momentum of acoustic waves, where well-defined geometric-phases can be attained through versatile topological charge conversion processes.
Journal ArticleDOI
Prior information constrained alternating direction method of multipliers for longitudinal compressive sensing MR imaging
Ruirui Kang,Danni Ai,Gangrong Qu,Qingbo Li,Xu Li,Yurong Jiang,Yong Huang,Hong Song,Yongtian Wang,Yongtian Wang,Jian Yang +10 more
TL;DR: This study proposes an efficient algorithm based on the ADMM framework, by using similarity prior information for LCS-MRI reconstruction, which is more effective and robust and obtained superior performance in reconstructing longitudinal compressed MR image than the other methods.
Proceedings ArticleDOI
Real-time correction and fusion for optical distortions in head-mounted displays
TL;DR: A software-based method to correct optical distortions in FFSP-based HMDs is presented, in which a distortion map with predistortion information is constructed to correct the distortion and a pixelfusion process is performed to improve the quality of thepredistortion image.