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Proceedings Paper

Approach for scene reconstruction from the analysis of a triplet of still images
Author(s): Patrick Lechat; Gwenaelle Le Mestre; Danielle Pele
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Paper Abstract

Three-dimensional modeling of a scene from the automatic analysis of 2D image sequences is a big challenge for future interactive audiovisual services based on 3D content manipulation such as virtual vests, 3D teleconferencing and interactive television. We propose a scheme that computes 3D objects models from stereo analysis of image triplets shot by calibrated cameras. After matching the different views with a correlation based algorithm, a depth map referring to a given view is built by using a fusion criterion taking into account depth coherency, visibility constraints and correlation scores. Because luminance segmentation helps to compute accurate object borders and to detect and improve the unreliable depth values, a two steps segmentation algorithm using both depth map and graylevel image is applied to extract the objects masks. First an edge detection segments the luminance image in regions and a multimodal thresholding method selects depth classes from the depth map. Then the regions are merged and labelled with the different depth classes numbers by using a coherence test on depth values according to the rate of reliable and dominant depth values and the size of the regions. The structures of the segmented objects are obtained with a constrained Delaunay triangulation followed by a refining stage. Finally, texture mapping is performed using open inventor or VRML1.0 tools.

Paper Details

Date Published: 21 March 1997
PDF: 11 pages
Proc. SPIE 3023, Three-Dimensional Image Capture, (21 March 1997); doi: 10.1117/12.269754
Show Author Affiliations
Patrick Lechat, CCETT (France)
Gwenaelle Le Mestre, CCETT (France)
Danielle Pele, CCETT (France)


Published in SPIE Proceedings Vol. 3023:
Three-Dimensional Image Capture
Richard N. Ellson; Joseph H. Nurre, Editor(s)

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