Computer vision estimation of physical parameters and its application to power requirements of natural and artificial swimmers

HIGHLIGHTS

  • who: Michael Coe and Stefanie Gutschmidt from the Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand have published the research work: Computer Vision Estimation of Physical Parameters and Its Application to Power Requirements of Natural and Artificial Swimmers, in the Journal: Designs 2021, 5, 69. of /2021/
  • what: The authors propose a computer vision in a methodology called Ika-Fit to determine important characteristics such as surface area slenderness ratio and mass that are used for a cost of transport model. This research seeks to extend the analysis by Phillips to bio-mimetic . . .

     

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