FM-Net: Deep Learning Network for the Fundamental Matrix Estimation from Biplanar Radiographs.

Journal: Computer methods and programs in biomedicine
Published Date: Apr 6, 2022

Abstract

BACKGROUND AND OBJECTIVE: The fundamental matrix estimation is a classic problem in computer vision. The traditional algorithms require high-precision correspondences. However, correspondences in biplanar radiographs are difficult to match accurately.

Authors

  • Bo Li
    Electric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming, Yunnan, China.
  • Junhua Zhang
    Evidence-based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
  • Ruiqi Yang
    Department of Electronic Engineering, Yunnan University, Kunming, China.
  • Hongjian Li
    Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China.

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