The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

We present a technique for constructing shape representation from images using free-form deformable surfaces. We model an object as a closed surface that is deformed subject to attractive fields generated by input data points and features. Features affect the global shape of the surface or unstructured environments. The algorithm is general in that it makes few assumptions on the type of features, the nature of the data and the type of objects. We present results in a wide range of applications: reconstruction of smooth isolated objects such as human faces, reconstruction of structured objects such as polyhedra, and segmentation of complex scenes with mutually occluding objects. We have successfully tested the algorithm using data from different sensors including grey-coding range finders and video cameras, using one or several images.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference

H. Delingette, Martial Hebert, and Katsushi Ikeuchi, "Shape representation and image segmentation using deformable surfaces," Image and Vision Computing, , 1992 pp. 132 - 145.

BibTeX Reference

@article{Hebert_1992_4223,
   author = "H. Delingette and Martial Hebert and Katsushi Ikeuchi",
   title = "Shape representation and image segmentation using deformable surfaces",
   journal = "Image and Vision Computing",
   pages = "132 - 145",
   year = "1992",
}

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