Projective indices for AR/MR benchmarking in TrakMark

نویسندگان

  • Masayuki Hayashi
  • Koji Makita
  • Takeshi Kurata
  • Itaru Kitahara
  • Yoshinari Kameda
  • Yuichi Ohta
چکیده

We propose to exploit “projective indices” to compare camera tracking methods for augmented reality (AR) and mixed reality (MR). Projective indices are calculated by projection error of virtual points that are placed in the scene. The number of virtual points, their positions, and how to calculate the indices are important to compare different camera tracking methods as these parameters largely affect on the projective indices. We show evaluation results of two kinds of projective indices on TrakMark dataset. Keywords—camera tracking; augmented reality; mixed reality; benchmarking; TrakMark

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تاریخ انتشار 2013