Modeling 3D objects from range maps and color images using a warping-based approach

Faysal Boughorbal; Andreas Koschan; Mongi A. Abidi

doi:10.1117/12.515070

1 May 2003 Modeling 3D objects from range maps and color images using a warping- based approach

Faysal Boughorbal, Andreas Koschan, Mongi A. Abidi

Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.515070
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States

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.

Citation Download Citation

Faysal Boughorbal, Andreas Koschan, and Mongi A. Abidi "Modeling 3D objects from range maps and color images using a warping- based approach", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.515070

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