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Computer Science > Computer Vision and Pattern Recognition

arXiv:2307.05913 (cs)
[Submitted on 12 Jul 2023]

Title:Close-up View synthesis by Interpolating Optical Flow

Authors:Xinyi Bai, Ze Wang, Lu Yang, Hong Cheng
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Abstract:The virtual viewpoint is perceived as a new technique in virtual navigation, as yet not supported due to the lack of depth information and obscure camera parameters. In this paper, a method for achieving close-up virtual view is proposed and it only uses optical flow to build parallax effects to realize pseudo 3D projection without using depth sensor. We develop a bidirectional optical flow method to obtain any virtual viewpoint by proportional interpolation of optical flow. Moreover, with the ingenious application of the optical-flow-value, we achieve clear and visual-fidelity magnified results through lens stretching in any corner, which overcomes the visual distortion and image blur through viewpoint magnification and transition in Google Street View system.
Comments: 4 pages, 5 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Robotics (cs.RO)
MSC classes: I.4.5, I.4.0, I.4.1
Cite as: arXiv:2307.05913 [cs.CV]
  (or arXiv:2307.05913v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2307.05913

Submission history

From: Xinyi Bai [view email]
[v1] Wed, 12 Jul 2023 04:40:00 UTC (1,030 KB)
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