全局和局部优化的潘尼尼投影,用于 360° 图像的高 FoV 渲染

IF 3.4 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Signal Processing-Image Communication Pub Date : 2024-08-30 DOI:10.1016/j.image.2024.117190
Falah Jabar, João Ascenso, Maria Paula Queluz
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引用次数: 0

摘要

要在平面显示器上呈现球形(360° 或全方位)图像,必须根据用户的观看方向和预定义的视场(FoV),通过在平面上投影球形区域来获得二维图像(称为视口)。然而,任何球面到平面的投影都会带来几何失真,如物体拉伸和/或直线弯曲,其强度随所考虑的 FoV 而增加。本文提出了一种全自动内容感知投影,旨在减少使用高视场角时的几何失真。这种新投影基于潘尼尼投影,其参数首先根据图像内容进行全局优化,然后对相关视口对象进行局部保形改进。众包主观测试表明,在目前最先进的球面到平面投影中,建议的投影是最受欢迎的解决方案,能产生视觉质量更佳的视口。
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Globally and locally optimized Pannini projection for high FoV rendering of 360° images

To render a spherical (360° or omnidirectional) image on planar displays, a 2D image - called as viewport - must be obtained by projecting a sphere region on a plane, according to the user's viewing direction and a predefined field of view (FoV). However, any sphere to plan projection introduces geometric distortions, such as object stretching and/or bending of straight lines, which intensity increases with the considered FoV. In this paper, a fully automatic content-aware projection is proposed, aiming to reduce the geometric distortions when high FoVs are used. This new projection is based on the Pannini projection, whose parameters are firstly globally optimized according to the image content, followed by a local conformality improvement of relevant viewport objects. A crowdsourcing subjective test showed that the proposed projection is the most preferred solution among the considered state-of-the-art sphere to plan projections, producing viewports with a more pleasant visual quality.

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来源期刊
Signal Processing-Image Communication
Signal Processing-Image Communication 工程技术-工程:电子与电气
CiteScore
8.40
自引率
2.90%
发文量
138
审稿时长
5.2 months
期刊介绍: Signal Processing: Image Communication is an international journal for the development of the theory and practice of image communication. Its primary objectives are the following: To present a forum for the advancement of theory and practice of image communication. To stimulate cross-fertilization between areas similar in nature which have traditionally been separated, for example, various aspects of visual communications and information systems. To contribute to a rapid information exchange between the industrial and academic environments. The editorial policy and the technical content of the journal are the responsibility of the Editor-in-Chief, the Area Editors and the Advisory Editors. The Journal is self-supporting from subscription income and contains a minimum amount of advertisements. Advertisements are subject to the prior approval of the Editor-in-Chief. The journal welcomes contributions from every country in the world. Signal Processing: Image Communication publishes articles relating to aspects of the design, implementation and use of image communication systems. The journal features original research work, tutorial and review articles, and accounts of practical developments. Subjects of interest include image/video coding, 3D video representations and compression, 3D graphics and animation compression, HDTV and 3DTV systems, video adaptation, video over IP, peer-to-peer video networking, interactive visual communication, multi-user video conferencing, wireless video broadcasting and communication, visual surveillance, 2D and 3D image/video quality measures, pre/post processing, video restoration and super-resolution, multi-camera video analysis, motion analysis, content-based image/video indexing and retrieval, face and gesture processing, video synthesis, 2D and 3D image/video acquisition and display technologies, architectures for image/video processing and communication.
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