Description: Level set methods are a class of numerical algorithms for simulation of dynamic implicit surfaces and approximation of solutions to the Hamilton-Jacobi (HJ) partial differential equation (PDE). Platform: |
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Description: 三篇level set 的经典论文
三本level set 的经典书籍-Level set of three classic papers three level set of classic books Platform: |
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Author:liu |
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Description: 医学图像处理中水平集分割方法基本理论知识：《Level Set Methods and Dynamic Implicit Surfaces》-Medical Image Processing in level set segmentation method the basic theory of knowledge: Platform: |
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Description: 医学图像分割水平及方法理论书籍《Level Set Methods and Dynamic Implicit Surfaces》代码-Medical image segmentation level of theory and methodology of the book Platform: |
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Description: Level Set Methods and Dynamic Implicit Surfaces - Ronald Fedkiw-Level Set Methods and Dynamic Implicit Surfaces- Ronald Fedkiw Platform: |
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Description: 网上图书系统
图书管理、借出登记、归还登记-Geometric Level Set Methods in Imaging,Vision and Graphics- Osher, Paragios(Springer 2003).pdf Image Analysis,Random Fields and Dynamic Monte Carlo Methods-Winkler(Springer).pdf Level Set and Dynamic Implicit Surfaces- Osher, Fedkiw (Springer 2003).pdf Level Set Methods and Fast Marching Methods-J.A.Sethain(CAMBRIDGE UNIVERSITY PRESS 2002).pdf-level set, PDE image processing books----- 5 translate : Geometric Level Set Methods in Imaging, Vision and Graphics-Osher. Paragios (Springer 2003). pdf Image Analysis, Random Fields and Dynamic Monte Carlo Methods- Winkler (Springer). pdf and Dynamic Level Set I mplicit Surfaces- Osher. Fedkiw (Springer 2003). pdf a Level Set Methods Fast Marching Methods nd- J.A.Sethain (CAMBRI DGE UNIVERSITY PRESS 2002). Platform: |
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Description: level set methods and dynamic implicit surfaces, book about level set-level set methods and dynamic implicit surfaces,content Platform: |
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Author:郭 |
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Description: 这个工具箱是对水平集方法的matlab程序的搜集。这些程序应用数值算法在任一维度来近似基于时间变化的汉密尔顿雅可比偏微分方程的解。汉密尔顿雅可比偏微分方程常用动画演示动态隐式曲面，计算流体动力学，并且它是独立在最优控制，微分博弈机器人，金融数学，连续的可达性等兴趣领域。-The Toolbox of Level Set Methods (ToolboxLS) is a collection of Matlab
routines that implement numerical algorithms to approximate the
solution of the time-dependent Hamilton-Jacobi (HJ) partial
differential equation (PDE) in any number of dimensions. The HJ PDE
is often used for simulating dynamic implicit surfaces in animation
and computational fluid dynamics (CFD), and it is of independent
interest in areas of optimal control, differential games, robotics,
financial mathematics, continuous reachability, etc. Platform: |
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