Diminished reality via multiple hand-held cameras

Songkran Jarusirisawad, Hideo Saito

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

This paper proposes a novel method for calibrating multiple hand-held cameras target for Diminished Reality application. Our method does not require any special markers or information about camera parameters. Projective Grid Space (PGS) which is 3D space defined by epipolar geometry of two basis camera is used for dynamic cameras calibration. Geometrical relations among cameras in PGS are obtained from 2D-2D corresponding points between views. We utilize Scale Invariant Feature Transform (SIFT) for finding corresponding points in natural scene for registering cameras to PGS. Moving object is segmented via graph cut optimization. Finally, the reconstructed visual hull is used to synthesize free viewpoint video in which unwanted or occluding object is deliberately removed. In the experimental results, free viewpoint video without unwanted object which is captured by hand-held cameras is successfully synthesized using the proposed method.

本文言語English
ホスト出版物のタイトル2007 1st ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC
ページ251-258
ページ数8
DOI
出版ステータスPublished - 2007 12 1
イベント2007 First ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC-07 - Vienna, Austria
継続期間: 2007 9 252007 9 28

出版物シリーズ

名前2007 1st ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC

Other

Other2007 First ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC-07
CountryAustria
CityVienna
Period07/9/2507/9/28

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

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