Description: The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (e.g. road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented. Platform: |
Size: 1349330 |
Author:费仙凤 |
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Description: toolbox_fast_marching
A toolbox for the computation of the Fast Marching algorithm in 2D and 3D. Platform: |
Size: 2957223 |
Author:dangle |
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Description: The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (e.g. road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented.-The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (eg road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented. Platform: |
Size: 1349632 |
Author:费仙凤 |
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Description: Level Set Solver in 2D and 3D
Group Marching Method (GMM)和Fast Marching Method (FMM)-Level Set Solver in 2D and 3DGroup Marching Method (GMM) and the Fast Marching Method (FMM) Platform: |
Size: 20480 |
Author:wang |
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Description: The function MSFM2D/MSFM3D calculates the shortest distance from a list of points to all other pixels in an 2D or 3D image, using the Multistencil Fast Marching Method (MSFM). This method gives more accurate distances by using second order derivatives and cross neighbors.
-The function MSFM2D/MSFM3D calculates the shortest distance from a list of points to all other pixels in an 2D or 3D image, using the Multistencil Fast Marching Method (MSFM). This method gives more accurate distances by using second order derivatives and cross neighbors.
Platform: |
Size: 59392 |
Author:xiaoni |
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Description: 在Juan Cardelino发布的FMM(fast marching methos)2维程序基础上改写的3维程序。并改写成适合复杂速度模型，可用于地震旅行时计算。大模型3d算法在matlab下计算速度较慢，根据源码中的注释很容易改写成c程序。-3D FMM program revised from Juan Cardelino s 2D version. The program can calculate the seismic traveltimes in 3D complex model Platform: |
Size: 375808 |
Author:lhy |
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Description:
Abstract—Recently, a 3D face recognition approach based on
geometric invariant signatures, has been proposed. The key idea
of the algorithm is a representation of the facial surface, invariant
to isometric deformations, such as those resulting from facial
expressions. One of the crucial stages in the construction of the
geometric invariants is the measurement of geodesic distances on
triangulated surfaces, carried out by fast marching on
triangulated domains (FMTD). Proposed here is a method, which
uses only the metric tensor of the surface for geodesic distance
computation. When combined with photometric stereo used for
facial surface acquisition, it allows constructing a bending-
invariant representation of the face without reconstructing the 3D
surface. -
Abstract—Recently, a 3D face recognition approach based on
geometric invariant signatures, has been proposed. The key idea
of the algorithm is a representation of the facial surface, invariant
to isometric deformations, such as those resulting from facial
expressions. One of the crucial stages in the construction of the
geometric invariants is the measurement of geodesic distances on
triangulated surfaces, carried out by fast marching on
triangulated domains (FMTD). Proposed here is a method, which
uses only the metric tensor of the surface for geodesic distance
computation. When combined with photometric stereo used for
facial surface acquisition, it allows constructing a bending-
invariant representation of the face without reconstructing the 3D
surface. Platform: |
Size: 266240 |
Author:arkan |
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Description: 基于快速推进法的血管内超声图像序列的三维分割,对于医学图像方面的初学者很有帮助-Fast marching method based on intravascular ultrasound image sequences 3D segmentation , medical image areas for beginners Platform: |
Size: 6437888 |
Author:光 |
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Search - 3d fast marching