Jinxin SHAO

Mr. Jinxin SHAO

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 November 2023 in Applied Sciences
Verified
Journal Article
Open access
PDF file
ZHzhang haosu
zhang haosu
RZruohan zheng
ruohan zheng
WZWenrui Zhang
Wenrui Zhang
JSJinxin SHAO
Jinxin SHAO
JMJianming Miao
Jianming Miao
Underwater image stitching is a technique employed to seamlessly merge images with overlapping regions, creating a coherent underwater panorama. In recent years, extensive research efforts have been devoted to advancing image stitching methodologies for both terrestrial and underwater applications. However, existing image stitching methods, which do not utilize detector information, heavily rely on matching feature pairs and tend to underperform in situations where underwater images contain regions with blurred feature textures. To address this challenge, we present an improved scale-invariant feature transform (SIFT) underwater image stitching method. This method enables the stitching of underwater images with arbitrarily acquired images featuring blurred feature contours and that do not require any detector information. Specifically, we perform a coarse feature extraction between the reference and training images, and then we acquire the target image and perform an accurate feature extraction between the reference and target images. In the final stage, we propose an improved fade-in and fade-out fusion method to obtain a panoramic underwater image. The experimental results show that our proposed method demonstrates enhanced robustness, particularly in scenarios where detecting feature points is challenging, when compared to traditional SIFT methods. Additionally, our method achieves higher matching accuracy and produces higher-quality results in the stitching of underwater images.

18 September 2017 in Sensors
Verified
Journal Article
Open access
PDF file
JSJinxin SHAO
Jinxin SHAO
WXWenge Xie
Wenge Xie
XSXi Song
Xi Song
Ya-nan ZhangYa-nan Zhang
Ya-nan Zhang
This paper presents a new hydrogen sensor based on a single mode–no core–single mode (SNS) fiber interferometer structure. The surface of the no core fiber (NCF) was coated by Pd/WO3 film to detect the variation of hydrogen concentration. If the hydrogen concentration changes, the refractive index of the Pd/WO3 film as well as the boundary condition for light propagating in the NCF will all be changed, which will then cause a shift into the resonant wavelength of interferometer. Therefore, the hydrogen concentration can be deduced by measuring the shift of the resonant wavelength. Experimental results demonstrated that this proposed sensor had a high detection sensitivity of 1.26857 nm/%, with good linearity and high accuracy (maximum 0.0055% hydrogen volume error). Besides, it also possessed the advantages of simple structure, low cost, good stability, and repeatability.

5 December 2024 in Image and Vision Computing
Verified
Journal Article
Closed access
JSJinxin SHAO
Jinxin SHAO
ZHzhang haosu
zhang haosu
JMJianming Miao
Jianming Miao

11 February 2025 in Machine Vision and Applications
Verified
Journal Article
Closed access
PDF file
JSJinxin SHAO
Jinxin SHAO
ZHzhang haosu
zhang haosu
JMJianming Miao
Jianming Miao

17 January 2025 in Machine Vision and Applications
Verified
Journal Article
Closed access
PDF file
JSJinxin SHAO
Jinxin SHAO
ZHzhang haosu
zhang haosu
JMJianming Miao
Jianming Miao

25 March 2025 in Pattern Analysis and Applications
Verified
Journal Article
Closed access
PDF file
JSJinxin SHAO
Jinxin SHAO
ZHzhang haosu
zhang haosu
JMJianming Miao
Jianming Miao