Multiscale combination of physically-based registration anddeformation modeling
Tsap, L.V.
Goldgof, D.B.
Sarkar, S.
Center for Appl. Sci. Comput., Lawrence Livermore Nat. Lab., CA;
This paper appears in: Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Publication Date: 2000
Volume: 2,
On page(s): 422-429 vol.2
Meeting Date: 06/13/2000 - 06/15/2000
Location: Hilton Head Island, SC, USA
ISBN: 0-7695-0662-3
References Cited: 15
INSPEC Accession Number: 6651808
Digital Object Identifier: 10.1109/CVPR.2000.854870
Current Version Published: 2002-08-06
Abstract
In this paper we present a novel multiscale approach to recovery
of nonrigid motion from sequences of registered intensity and range
images. The main idea of our approach is that a finite element (FEM)
model can naturally handle both registration and deformation modeling
using a single model-driving strategy. The method includes a multiscale
iterative algorithm based on analysis of the undirected Hausdorff
distance to recover correspondences. The method is evaluated with
respect to speed, accuracy, and noise sensitivity. Advantages of the
proposed approach are demonstrated using man-made elastic materials and
human skin motion. Experiments with regular grid features are used for
performance comparison with a conventional approach (separate snakes and
FEM models). It is shown that the new method does not require a grid and
can adapt the model to available object features
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
