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open access: yes360
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Perception-Oriented U-Shaped Transformer Network for 360-Degree No-Reference Image Quality Assessment

IEEE transactions on broadcasting, 2023
Generally, 360-degree images have absolute senses of reality and three-dimensionality, providing a wide range of immersive interactions. Due to the novel rendering and display technology of 360-degree images, they have more complex perceptual ...
Mingliang Zhou   +9 more
semanticscholar   +1 more source

Spherical Convolution Empowered Viewport Prediction in 360 Video Multicast with Limited FoV Feedback

ACM Trans. Multim. Comput. Commun. Appl., 2022
Field of view (FoV) prediction is critical in 360-degree video multicast, which is a key component of the emerging virtual reality and augmented reality applications. Most of the current prediction methods combining saliency detection and FoV information
Jie Li   +4 more
semanticscholar   +1 more source

Impact of Immersive Virtual Reality Content Using 360-Degree Videos in Undergraduate Education

IEEE Transactions on Learning Technologies, 2022
This article investigated the impact of immersive virtual reality (VR) content, using 360-degree videos, in undergraduate education. To improve the delivery and reality of 360-degree VR content, we filmed the video in the third person so that the viewers
Jihyung Kim, Kyeongsun Kim, Wooksung Kim
semanticscholar   +1 more source

360×360 mosaics

Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2002
Current mosaicing methods use narrow field of view cameras to acquire image data. This poses problems when computing a complete spherical mosaic. First, a large number of images are needed to capture a sphere. Second, errors in mosaicing make it difficult to complete the spherical mosaic without seams.
A. Karmarkar, Shree K. Nayar
openaire   +2 more sources

A review of research on 360-degree video and its applications to education

Journal of Research on Technology in Education, 2021
360-degree video is an emerging technology that creates virtually authentic learning environment. It has received considerable attention in the last few years.
R. Shadiev, Liuxin Yang, Yueh-Min Huang
semanticscholar   +1 more source

BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion

Computer Vision and Pattern Recognition, 2020
Depth estimation from a monocular 360 image is an emerging problem that gains popularity due to the availability of consumer-level 360 cameras and the complete surrounding sensing capability.
Fu-En Wang   +4 more
semanticscholar   +1 more source

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