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mecca.louisville.edu
In this project, we propose a new PDE-based method for extracting the shape salient nodes that correspond to its prominent parts. The method is highly robust to boundary noise and works for both 2D and 3D. The key idea is to propagate inside the object a monotonic wave front, whose motion is governed by the Eikonal equation, such that it divides the object into a set of adjacent clusters that are normal to the shape curve skeletons or symmetry axis. These clusters are then converted into a graph, from which the shape prominent nodes are easily found.
M. Sabry Hassouna, Aly A. Farag
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Weave it
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This technique has been developed during working on extracting centerlines and curve skeletons of both 2D and 3D shapes, respectively.
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Fast Marching Methods |
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On the implementation of fast marching methods for 3D lattices |
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Variational Curve Skeletons Using Gradient Vector Flow |
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Robust Centerline Extraction Framework Using Level Sets |
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Multistencils Fast Marching Methods: A Highly Accurate Solution to the Eikonal Equation on Cartesian Domains |
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DIJKSTRA’S and Fast Marching Method for Optimal Path Planning |
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Level Set Graph |
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Robust Robotic Path Planning Using Level Sets |
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Robust Centerline Extraction Framework Using Level Sets |
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PDE-Based Robust Robotic Navigation |
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Fast Marching Methods |
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2D-3D Automatic Mesh Generation |
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A New Grey-Scale Template Image Matching Algorithm Using the Cross-Sectional Histogram Correlation Method |
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Div, Grad, Curl, and All That: An Informal Text on Vector Calculus |
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On the implementation of fast marching methods for 3D lattices |
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A Gentle Introduction to the EM Algorithm |
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Writing Fast Matlab Code |
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On the Extraction of Curve Skeletons using Gradient Vector Flow |
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A Matlab Toolbox Implementing Level Set Methods |
| Views 1380 By msabry | |
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Active Contours Without Edges and Image Segmentation |
| Views 1304 By msabry |
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