Interpolation of three views based on epipolar geometry

M. Kimura, H. Saito

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


In this paper, we propose a method for generating arbitrary view image by interpolating images between three cameras using epipolar geometry. Projective geometry has recently been used in the field of computer vision, because projective geometry can be easily determined compararing with Euclidean geometry. In the proposed method, three input camera images are rectified so that the vertical and horizontal directions can be completely aligned to the epipolar planes between the cameras. This rectification provides Projective Voxel Space (PVS), in which the three axes are aligned with the direction of camera's projection. Such alignment simplifies the procedure for projection and back projection between the 3D space and the image planes. First, we apply shape-from-silhouette with taking advantage of PVS. The consistency of color value between the images is evaluated for final determination of the object surface voxel. Therefore, consistent matching in three images is estimated and images can be interpolated from the matching information. Synthesized images are based on 3D shape in PVS, so the occlusion of the object is reproduced in the generated images, however it requires only weak calibration.

Original languageEnglish
Pages (from-to)218-227
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2001
EventVisual Communications and Image Processing 2001 - San Jose, CA, United States
Duration: 2001 Jan 242001 Jan 26


  • Fundamental matrix
  • Interpolation
  • Projective geometry
  • Shape reconstruction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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