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pro vyhledávání: '"Dodgson, Neil A."'
Geometric estimation is required for scene understanding and analysis in panoramic 360{\deg} images. Current methods usually predict a single feature, such as depth or surface normal. These methods can lack robustness, especially when dealing with in
Externí odkaz:
http://arxiv.org/abs/2411.01749
The presence of spherical distortion on the Equirectangular image is an acknowledged challenge in dense regression computer vision tasks, such as surface normal estimation. Recent advances in convolutional neural networks (CNNs) strive to mitigate sp
Externí odkaz:
http://arxiv.org/abs/2405.18745
360{\deg} images and videos have become an economic and popular way to provide VR experiences using real-world content. However, the manipulation of the stereo panoramic content remains less explored. In this paper, we focus on the 360{\deg} image co
Externí odkaz:
http://arxiv.org/abs/2212.10062
Publikováno v:
In Computer Aided Geometric Design November 2024 114
Akademický článek
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Autor:
Scott, Joshua J., Dodgson, Neil A.
Publikováno v:
In Computers & Graphics October 2021 99:43-53
Previous saliency detection research required the reader to evaluate performance qualitatively, based on renderings of saliency maps on a few shapes. This qualitative approach meant it was unclear which saliency models were better, or how well they c
Externí odkaz:
http://arxiv.org/abs/1605.09451
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics; September 2024, Vol. 30 Issue: 9 p6177-6191, 15p
