PanoPoint: Self-Supervised Feature Points Detection and Description for 360° Panorama

Zhang, Hengzhi; Yi, Hong; Jia, Haijing; Wang, Wei; Odamaki, Makoto

doi:10.1109/cvprw59228.2023.00686

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023

DOI: 10.1109/cvprw59228.2023.00686

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PanoPoint: Self-Supervised Feature Points Detection and Description for 360° Panorama

Hengzhi Zhang,

Hong Yi,

Haijing Jia

et al.

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2024

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Cited by 1 publication

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Effective descriptor extraction strategies for correspondence matching in coronary angiography images

Kim,

Noh,

Kim

et al. 2024

Sci Rep

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The importance of 3D reconstruction of coronary arteries using multiple coronary angiography (CAG) images has been increasingly recognized in the field of cardiovascular disease management. This process relies on the camera matrix’s optimization, needing correspondence info for identical point positions across two images. Therefore, an automatic method for determining correspondence between two CAG images is highly desirable. Despite this need, there is a paucity of research focusing on image matching in the CAG images. Additionally, standard deep learning image matching techniques often degrade due to unique features and noise in CAG images. This study aims to fill this gap by applying a deep learning-based image matching method specifically tailored for the CAG images. We have improved the structure of our point detector and redesigned loss function to better handle sparse labeling and indistinct local features specific to CAG images. Our method include changes to training loss and introduction of a multi-head descriptor structure leading to an approximate 6% improvement. We anticipate that our work will provide valuable insights into adapting techniques from general domains to more specialized ones like medical imaging and serve as an improved benchmark for future endeavors in X-ray image-based correspondence matching.

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Effective descriptor extraction strategies for correspondence matching in coronary angiography images

Kim,

Noh,

Kim

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

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PanoPoint: Self-Supervised Feature Points Detection and Description for 360° Panorama

Cited by 1 publication

References 38 publications

Effective descriptor extraction strategies for correspondence matching in coronary angiography images

Effective descriptor extraction strategies for correspondence matching in coronary angiography images

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