Real-Time Camera Parameter Estimation from Images for a Wearable Vision System

نویسندگان

  • Takashi Okuma
  • Takeshi Kurata
  • Katsuhiko Sakaue
چکیده

In this paper, we propose a method of estimating camera parameters for annotating 3D virtual objects with a wearable vision system. The proposed method tracks natural feature points using a doubled color histogram matching and template matching. The model-view matrix calculation method consists of three algorithms for PnP problems and uses each algorithm selectively. The experimental system using the proposed method works at 5 to 10 frames per second.

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تاریخ انتشار 2000