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Subjective Evaluation on Perceptual Tracking Errors from Modeling Errors in Model-Based Tracking

  • Rhee, Eun Joo ;
  • Park, Jungsik ;
  • Seo, Byung-Kuk ;
  • Park, Jong-Il
  • Received : 2015.12.14
  • Accepted : 2015.12.27
  • Published : 2015.12.31

Abstract

In model-based tracking, an accurate 3D model of a target object or scene is mostly assumed to be known or given in advance, but the accuracy of the model should be guaranteed for accurate pose estimation. In many application domains, on the other hand, end users are not highly distracted by tracking errors from certain levels of modeling errors. In this paper, we examine perceptual tracking errors, which are predominantly caused by modeling errors, on subjective evaluation and compare them to computational tracking errors. We also discuss the tolerance of modeling errors by analyzing their permissible ranges.

Keywords

Tolerance analysis;Human perceptual error;Modeling error;Model-based tracking

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Cited by

  1. Robust Video Stabilization Using Particle Keypoint Update and l1-Optimized Camera Path vol.17, pp.2, 2017, https://doi.org/10.3390/s17020337

Acknowledgement

Supported by : Korea Creative Content Agency (KOCCA)