12 Papers
4 Citations
Ning Li is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Computer science & Polarization (waves). The author has an hindex of 3, co-authored 12 publications.
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Papers
Demosaicking DoFP images using Newton’s polynomial interpolation and polarization difference model
TL;DR: Experiments demonstrate that the proposed interpolation method outperforms the state-of-the-art techniques quantitatively as well as visually to reduce nonconformities caused by high-frequency energy.
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Polarization image demosaicking using polarization channel difference prior.
TL;DR: In this article, a polarization channel difference prior is proposed for polarization image demosaicing, which is based on the idea that high frequency energy of difference between orthogonal channels tends to be larger than that between non-orthogonal ones.
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Illumination-invariant road detection and tracking using LWIR polarization characteristics
TL;DR: Experiments on the LDDRS database demonstrate that the proposed method outperforms two state-of-the-art real-time semantic segmentation networks, FANet-34 and SwiftNet, by 1.4% and 2.1% in terms of IoU, respectively.
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Object Tracking in Hyperspectral-Oriented Video with Fast Spatial-Spectral Features
Lulu Chen,Yongqiang Zhao,Jiaxin Yao,Chen Jiaxin,Ning Li,Jonathan Cheung-Wai Chan,Seong G. Kong +6 more
TL;DR: In this paper, a correlation filter based on fast spatial-spectral features (FSSF) is proposed to realize robust, real-time object tracking in hyperspectral surveillance video.
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Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization
Ning Li,Yongqiang Zhao,Quan Pan,Seong G. Kong,Jonathan Cheung-Wai Chan +4 more
- 23 Aug 2020
TL;DR: A road detection technique based on long-wave infrared (LWIR) polarization imaging for autonomous navigation regardless of illumination conditions, day and night is presented and the merits of the proposed road detection method based on the zero-distribution prior are demonstrated.
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