Articles with "omnidirectional images" as a keyword



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Monocular and Binocular Interactions Oriented Deformable Convolutional Networks for Blind Quality Assessment of Stereoscopic Omnidirectional Images

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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2021.3112120

Abstract: Stereoscopic omnidirectional content, as a novel visual media, has drawn wide attention in recent years due to its ability in providing strong immersive experience. Since Stereoscopic Omnidirectional Images (SOIs) involve the properties from panoramic and… read more here.

Keywords: quality; monocular binocular; stereoscopic omnidirectional; binocular interactions ... See more keywords
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Perspectively Equivariant Keypoint Learning for Omnidirectional Images

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Published in 2023 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3270032

Abstract: Robust keypoint detection on omnidirectional images against large perspective variations, is a key problem in many computer vision tasks. In this paper, we propose a perspectively equivariant keypoint learning framework named OmniKL for addressing this… read more here.

Keywords: perspectively equivariant; equivariant keypoint; keypoint; omnidirectional images ... See more keywords
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Edge points-based stereo matching approach for omnidirectional images

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Published in 2018 at "Journal of Electronic Imaging"

DOI: 10.1117/1.jei.27.5.053015

Abstract: Abstract. We address the problem of matching stereo-omnidirectional images acquired by a catadioptric stereo system. The proposed approach deals with omnidirectional stereo image sequences, which allows taking advantage of the temporal information in both rectification… read more here.

Keywords: stereo; edge points; omnidirectional images; stereo matching ... See more keywords
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Dynamically attentive viewport sequence for no-reference quality assessment of omnidirectional images

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Published in 2022 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2022.1022041

Abstract: Omnidirectional images (ODIs) have drawn great attention in virtual reality (VR) due to the capability of providing an immersive experience to users. However, ODIs are usually subject to various quality degradations during different processing stages.… read more here.

Keywords: dynamically attentive; quality; sequence; quality assessment ... See more keywords