Modeling and compensation of dynamic effects in camera-based position measurement

Edouard Laroche, Shingo Kagami, Loïc Cuvillon

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Cameras are used as position sensors for camera-based control or metrology, the goal being to estimate the position of some markers or features. When one of these markers has significant displacement over the exposure time, the measurement delivered by image processing cannot be considered as a sample of the actual trajectory as dynamic effects become effective. In this paper, models are proposed that allow to reproduce accurately the measurements provided by a camera. Various cases are considered: with full or partial exposure time; with global shutter mode or rolling shutter mode. An experimental evaluation in the global shutter case shows the accuracies of the models. When the continuous-time trajectory of a device needs to be reconstructed, these accurate models of the camera-based position measurement can be used in order to improve the trajectory provided by the camera. A methodology based on a hybrid Kalman filter is proposed to solve this general issue. An experimental evaluation is provided for the global shutter case, based on real images inspired from the problem of heart motion reconstruction.

Original languageEnglish
Pages (from-to)1175-1186
Number of pages12
JournalRobotics and Autonomous Systems
Volume62
Issue number8
DOIs
Publication statusPublished - 2014 Aug

Keywords

  • Camera model
  • Camera-based position measurement
  • Dynamic effects
  • Kalman filter
  • Visual servoing

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Mathematics(all)
  • Computer Science Applications

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