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Geometrical learning from multiple stereo views through monocular based feature grouping

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2 Author(s)
Thirion, E. ; CRIN-INRIA Lorraine, Vandoeuvre-les-Nancy, France ; Long Quan

A geometrical learning system is described which constructs automatically the geometric model of indoor environments from multiple stereo views. The produced model includes not only 3-D segments initially provided by a stereo vision system, but also 3-D feature groups. Feature grouping helps to predict the position of a given view with respect to the current model and allows one to correct noisy features by the geometric constraints of feature groups. This 3-D feature grouping is based on a monocular process working on the 2-D segments associated with one source image of a stereo view. Experimental results are presented

Published in:

Computer Vision, 1990. Proceedings, Third International Conference on

Date of Conference:

4-7 Dec 1990