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ICPR
2010
IEEE
14 years 2 months ago
Gait Learning-Based Regenerative Model: A Level Set Approach
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
Muayed Sattar Al-Huseiny, Sasan Mahmoodi, Mark Nix...
ICPR
2002
IEEE
14 years 19 days ago
A Fast Narrow Band Method and Its Application in Topology-Adaptive 3-D Modeling
We present a new fast method of modeling 3-D objects of arbitrary topology. The Level Set Methods have been used by many researchers to recover 3-D shapes of arbitrary topology. H...
Shuntaro Yui, Kenji Hara, Hongbin Zha, Tsutomu Has...

Presentation
3660views
15 years 8 months ago
Robust Centerline Extraction Framework Using Level Sets
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected auto...
M. Sabry Hassouna

Publication
1500views
15 years 8 months ago
Robust Centerline Extraction Framework Using Level Sets
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected aut...
M. Sabry Hassouna, Aly A. Farag
CVPR
2008
IEEE
14 years 9 months ago
Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions
In this work, we introduce a novel implicit representation of shape which is based on assigning to each pixel a probability that this pixel is inside the shape. This probabilistic...
Daniel Cremers, Frank R. Schmidt, Frank Barthel