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A Structure Feature Algorithm for Multi-modal Forearm Registration

arXiv 2111.05485 ↗First posted 10 Nov 2021cs.CVcited by 0

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Abstract (arXiv)

Augmented reality technology based on image registration is becoming increasingly popular for the convenience of pre-surgery preparation and medical education. This paper focuses on the registration of forearm images and digital anatomical models. Due to the difference in texture features of forearm multi-modal images, this paper proposes a forearm feature representation curve (FFRC) based on structure compliant multi-modal image registration framework (FAM) for the forearm.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 27 references that are in the map. First posted on arXiv 10 Nov 2021.

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8 of 27 references.

References · 8

  1. 2017Working hard to know your neighbor's margins: Local descriptor learning losscited by 212
  2. 2019SOSNet: Second Order Similarity Regularization for Local Descriptor Learningcited by 131
  3. 2015Learning to Compare Image Patches via Convolutional Neural Networkscited by 109
  4. 2017Deep Metric Learning with Angular Losscited by 107
  5. 2019ContextDesc: Local Descriptor Augmentation with Cross-Modality Contextcited by 79
  6. 2018Local Descriptors Optimized for Average Precisioncited by 43
  7. 2017Learning Spread-out Local Feature Descriptorscited by 34
  8. 2016PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptorscited by 16

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