New methods of 3D curved object modeling from image contour sequences

Changsheng Zhao; Roger Mohr

doi:10.1117/12.222693

3 October 1995 New methods of 3D curved object modeling from image contour sequences

Changsheng Zhao, Roger Mohr

Proceedings Volume 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling; (1995) https://doi.org/10.1117/12.222693
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

This paper describes three new methods for reconstructing a 3D rigid curve from a sequence of images using a 3D epipolar parameterization. It will be shown that such a 3D curve reconstruction is possible when the camera motion is known, except for the points where the epipolar lines are tangential to the curve and the image contours are singular. All the three new methods are treated as parameter estimation problems. Here the parameter is the position of control points of 3D B-spline curves, and surface patches. Experimental results are presented for real data.

Citation Download Citation

Changsheng Zhao and Roger Mohr "New methods of 3D curved object modeling from image contour sequences", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222693

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