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Profil bibliographique

Feng Shao

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

48Publications signalées
515Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Advanced Vision and ImagingImage and Video Quality AssessmentAdvanced Database Systems and QueriesVideo Coding and Compression TechnologiesImage Enhancement Techniques

Les publications récentes

Accès ouvert 2025 erratum OpenAlex

Correction: Two zinc( ii )-based coordination polymers as luminescent sensors for detecting salicylaldehyde with high sensitivity and selectivity

Ruo-Tong Gang, Wenjing Zhang, Haijun Yu, Zhenhui Li et autres

Correction for ‘Two zinc( ii )-based coordination polymers as luminescent sensors for detecting salicylaldehyde with high sensitivity and selectivity’ by Ruo-Tong Gang et al. , CrystEngComm , 2025, https://doi.org/10.1039/d4ce01236d.

cn (code pays fourni par la source)

0 citations CrystEngComm
Accès ouvert 2023 article OpenAlex

Feature Point Matching Based on Multi-Scale Local Relative Motion Consistency

Zhaoxia Liu, Feng Shao

Matching feature points from image pairs with significant visual changes and repetitive patterns remains a challenging problem due to the presence of mismatches in the putative corresponding point sets. In this paper, we propose a novel feature matching algorithm called Multi-scale Local …

cn (code pays fourni par la source)

2 citations IEEE Access
2021 article OpenAlex

Feature Matching Based on Minimum Relative Motion Entropy for Image Registration

Feng Shao, Zhaoxia Liu, Jubai An

Accurate point matching is widely used, and it is a critical and challenging process in feature-based image registration. To improve feature matching accuracy on putative matches with heavy outliers and similar local structures, an accurate and robust feature point matching algorithm based …

cn (code pays fourni par la source)

15 citations IEEE Transactions on Geoscience and Remote Sensing
Accès ouvert 2021 conference-paper OpenAlex

Feature Point Matching Based on Local Relative Velocity Consensus

Feng Shao, Zhaoxia Liu, Jubai

Abstract Feature matching is still a crucial and challenging problem in image processing. In this paper, a novel feature matching algorithm based on local relative velocity consensus (LRVC) is proposed to find two accurate matched feature points. To remove the outliers accurately …

cn (code pays fourni par la source)

0 citations Journal of Physics Conference Series

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