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Proceedings Paper

Modeling 3D objects from range maps and color images using a warping-based approach
Author(s): Faysal Boughorbal; Andreas Koschan; Mongi A. Abidi
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Paper Abstract

In this paper we describe a new method for the modeling of objects with know generic shape such as human faces from video and range data. The method combines the strengths of active laser scanning and passive Shape from Motion techniques. Our approach consists of first reconstructing a few feature-points that can be reliably tracked throughout a video sequence of the object. These features are mapped to corresponding 3D points in a generic 3D model reconstructed from dense and accurate range data acquired only once. The resulting 3D-3D set of matches is used to warp the generic model into the actual object visible in the video stream using thin-plate splines interpolation. Our method avoids the problems of dense matching encountered in stereo algorithms. Furthermore, in the case of face reconstruction, this method provides dense models while not requiring the invasive laser scanning of faces.

Paper Details

Date Published: 1 May 2003
PDF: 8 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.515070
Show Author Affiliations
Faysal Boughorbal, Univ. of Tennessee (United States)
Andreas Koschan, Univ. of Tennessee (United States)
Mongi A. Abidi, Univ. of Tennessee (United States)

Published in SPIE Proceedings Vol. 5132:
Sixth International Conference on Quality Control by Artificial Vision
Kenneth W. Tobin Jr.; Fabrice Meriaudeau, Editor(s)

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