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Proceedings Paper

Interpolation of three views based on epipolar geometry
Author(s): Makoto Kimura; Hideo Saito
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Paper Abstract

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 comparing 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.

Paper Details

Date Published: 29 December 2000
PDF: 10 pages
Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411799
Show Author Affiliations
Makoto Kimura, Keio Univ. (Japan)
Hideo Saito, Keio Univ. (Japan)

Published in SPIE Proceedings Vol. 4310:
Visual Communications and Image Processing 2001
Bernd Girod; Charles A. Bouman; Eckehard G. Steinbach, Editor(s)

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