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@INPROCEEDINGS{Oyamada2012Tma,
  author = {Yuji Oyamada and Pascal Fallavollita and Nassir Navab},
  title = {Single Camera Calibration using partially visible calibration objects
	based on Random Dots Marker Tracking Algorithm},
  booktitle = {IEEE ISMAR 2012 Workshop on Tracking Methods and Applications (TMA)},
  year = {2012},
  abstract = {Camera calibration is one of the long existing research issues in
	computer vision domain. Typical calibration methods take two steps
	for the procedure: control points localization and camera parameters
	computation. In practical situation, control points localization
	is a time-consuming task because the localization puts severe assumption
	that the calibration object should be visible in all images. To satisfy
	the assumption, users may avoid moving the calibration object near
	the image boundary. As a result, we estimate poor quality parameters.
	
	
	In this paper, we aim to solve this partial occlusion problem of the
	calibration object. To solve the problem, we integrate a planar marker
	tracking algorithm that can track its target marker even with partial
	occlusion. Specifically, we localize control points by a RANdom DOts
	Markers (RANDOM) tracking algorithm that uses markers with randomly
	distributed circle dots. Once the control points are localized, they
	are used to estimate the camera parameters. The proposed method is
	validated with both synthetic and real world experiments. The experimental
	results show that the proposed method realizes camera calibration
	from image on which part of the calibration object is visible.},
  file = {presentation slide:http\://hvrl.ics.keio.ac.jp/charmie/file/TMA2012_YujiOyamada.zip:URL}
}