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3D SfM as a Measuring Technique for Human Body Transformation

  • Alessandro MarroEmail author
  • Stefan Wiesen
  • Max Langbein
  • Hans Hagen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11401)

Abstract

The tracking of fat loss as well as muscle gain has always been one of the most important steps during a person’s fitness journey. It does not only motivate to continue practicing exercises, but also helps to develop specific workout plans to enhance particular body parts of athletes. Structure for Motion (SfM), unlike other reconstruction techniques, produces acceptable results from low-quality inputs. This makes the method applicable for ubiquitous equipment like a smartphone camera, while still being scalable to professional environments with proper equipment. In order to track overall body transformation, we propose a photogrammetry workflow employing SfM, reproducibly generating a model of the human body in different stages of a fitness plan. For visualization, we do a mesh alignment step followed by a comparison between the reconstructed body models of the subject, resulting in color-mapped meshes. Following this workflow the transformation of specific body regions can be analyzed in detail, only using consumer hardware.

Keywords

Body transformation SfM Photogrammetry 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alessandro Marro
    • 1
    Email author
  • Stefan Wiesen
    • 1
  • Max Langbein
    • 1
  • Hans Hagen
    • 1
  1. 1.TU KaiserslauternKaiserslauternGermany

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