Shape representation and image segmentation using deformablesurfaces
Delingette, H.
Hebert, M.
Ikeuchi, K.
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA;
Abstract
A technique for constructing shape representation from images
using free-form deformable surfaces is presented. The authors 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, while data points control its local shape. This
approach is used to segment objects even in cluttered 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. Results for a wide range of applications are presented:
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. The algorithm has
been successfully tested using data from different sensors including
grey-coding range finders and video cameras, using one or several images
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
