Search - Level Set 3D

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[Special Effects] GMM23D DL : 0: Level Set Solver in 2D and 3D Group Marching Method (GMM)和Fast Marching Method (FMM)
Update : 2008-10-13 Size : 20.15kb Publisher : wang
[Special Effects] LevelSetMethods DL : 1: 也是水平集方法的一个matlab源代码比较经典的写的很详细还可以做3d处理的-level is a collection of source code comparison Matlab classic written in great detail can be done to deal with the 3d
Update : 2025-02-17 Size : 138kb Publisher : adejacky
[Special Effects] levelsetLBF DL : 0: 这是李纯明博士的LBF模型，是对无需初始化的加强和改进。效果很好，速度很快。-Dr. inherit model, initialization of the need to strengthen and improve. Very effective, very fast.
Update : 2025-02-17 Size : 20kb Publisher : kang
[Special Effects] GMM23D DL : 0: 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)
Update : 2025-02-17 Size : 20kb Publisher : wang
[JSP/Java] Java_3D_Source DL : 0: Java 3D是Java语言在三维图形领域的扩展，是一组应用编程接口（API）。利用Java 3D提供的API，可以编写出基于网页的三维动画、各种计算机辅助教学软件和三维游戏等等。利用Java 3D编写的程序，只需要编程人员调用这些API进行编程，而客户端只需要使用标准的Java虚拟机就可以浏览，因此具有不需要安装插件的优点。　　JAVA 3D从高层次为开发者提供对三维实体的创建、操纵和着色，使开发工作变得极为简单。同时，JAVA 3D的低级API是依赖于现有的三维图形系统的，如Direct 3D、OpenGL、QuickDraw 3D和XGL等-Java 3D is a three-dimensional graphics in Java language to expand the field, is a set of application programming interface (API). The use of Java 3D provides the API, can produce web-based three-dimensional animation, a variety of three-dimensional computer-aided teaching software and games and so on. The use of Java 3D programs that programmers only need to call these API programming, and the client only need to use the standard Java virtual machine will be able to browse, and therefore do not need to install the advantages of plug-ins. JAVA 3D from the high-level to provide for the development of three-dimensional entities of the creation, manipulation and rendering, so that development work has become extremely simple. At the same time, JAVA 3D s low-level API is dependent on the existing three-dimensional graphics system, such as Direct 3D, OpenGL, QuickDraw 3D and XGL, etc.
Update : 2025-02-17 Size : 7.51mb Publisher : 乔
[JSP/Java] Hello DL : 0: JAVA3D学习--Java 3D是Java语言在三维图形领域的扩展，是一组应用编程接口(API)。利用Java 3D提供的API，可以编写出基于网页的三维动画、各种计算机辅助教学软件和三维游戏等等。-The Java 3D API provides a set of object-oriented interfaces that support a simple, high-level programming model you can use to build
Update : 2025-02-17 Size : 1kb Publisher : dkdpc
[JSP/Java] SimpleLight DL : 0: JAVA3D学习--Java 3D是Java语言在三维图形领域的扩展，是一组应用编程接口(API)。利用Java 3D提供的API，可以编写出基于网页的三维动画、各种计算机辅助教学软件和三维游戏等等。-The Java 3D API provides a set of object-oriented interfaces that support a simple, high-level programming model you can use to build
Update : 2025-02-17 Size : 1kb Publisher : dkdpc
[JSP/Java] SimpleMaterial DL : 0: JAVA3D学习--Java 3D是Java语言在三维图形领域的扩展，是一组应用编程接口(API)。利用Java 3D提供的API，可以编写出基于网页的三维动画、各种计算机辅助教学软件和三维游戏等等。-The Java 3D API provides a set of object-oriented interfaces that support a simple, high-level programming model you can use to build
Update : 2025-02-17 Size : 1kb Publisher : dkdpc
[JSP/Java] SimpleShadow DL : 0: JAVA3D学习--Java 3D是Java语言在三维图形领域的扩展，是一组应用编程接口(API)。利用Java 3D提供的API，可以编写出基于网页的三维动画、各种计算机辅助教学软件和三维游戏等等。-The Java 3D API provides a set of object-oriented interfaces that support a simple, high-level programming model you can use to build
Update : 2025-02-17 Size : 1kb Publisher : dkdpc
[JSP/Java] SimpleTexture DL : 0: JAVA3D学习--Java 3D是Java语言在三维图形领域的扩展，是一组应用编程接口(API)。利用Java 3D提供的API，可以编写出基于网页的三维动画、各种计算机辅助教学软件和三维游戏等等。-The Java 3D API provides a set of object-oriented interfaces that support a simple, high-level programming model you can use to build
Update : 2025-02-17 Size : 2kb Publisher : dkdpc
[DirextX] 3DMark2001SE DL : 0: 3DMark2001 SE 是3DMark系列的最新工业标准，透过由一个超过400万个系统的效能数据库做比较为依据的结果，提供精细的标竿测试结果。可以让你以自己拥有的系统效能，跟世界上其它使用者的系统作比照。结合支持DirectX 8.1的最新3D绘图，3DMark2001 SE 客观的测量你的计算机如何有效地适当执行3D绘图。SE版本里面包含有全新的像素投影1.4版测试程序。新版的System Info（系统信息）现在也会侦测安装好的硬盘级AGP，这些都对3D效能有重大的影响。新版会检查所有最新的处理器如AMD的Athlon XP、英特尔的Pentium 4 以及用于笔记型计算机的Pentium III -M处理器。 3DMark2001 SE 与主要的3D加速器及处理器制造商合作，提供你毫不逊色的可能性以及一套高稳定度诊断工具，同时包含一组全新的示范操作，包含四套新游戏测试并展示一些实时3D图形最新的改进与创新。这个试用版本不包含可玩的游戏展示以及专业的批次执行和结果浏览工具。 -3DMark2001 SE 3DMark series is the latest industry standards through a more than four million by the system to compare the performance of the database based on the results, providing detailed benchmark test results. Allows you to own the system performance, with the rest of the world for the user s system, cf. Combined with support for DirectX 8.1 3D graphics of the latest, 3DMark2001 SE and objective measurement of how effectively your computer the proper implementation of 3D graphics. SE version which contains a new test program version 1.4 pixel projection. New version of the System Info (System Information) is now also detects installed hard-drive level AGP, these have a significant impact on 3D performance. The new version will check all the latest processors such as AMD s Athlon XP, Intel s Pentium 4 and notebook computers for Pentium III-M processor. 3DMark2001 SE with the major 3D accelerator and processor manufacturers to provide you with the possibility of no less and a set o
Update : 2025-02-17 Size : 39.84mb Publisher : 阿诺
[Software Engineering] NCS2011---146---autmented-reality DL : 0: 目前擴增實境技術相關應用大部分以使用標記為主，但各式應用需求與日俱增，無標記(markerless)擴增實境技術使用上更具彈性，不必受限於標記的使用，因此應用層面更廣。視覺追蹤技術是擴增實境系統重要底層核心技術之一，但使用視覺追蹤技術在實際應用上易受到追蹤物件本身及外觀變化之影響，因此本文提出適用於無標記擴增實境應用之物件追蹤方法，能有效追蹤各式真實物件。首先框選設定追蹤物件；接著擷取物件特徵值，藉由特徵值比對以持續追蹤物件，並利用金字塔L-K光流法以縮短比對運算時間；最後經由2D-3D座標轉換，將3D虛擬物件疊加至真實場景。經由實驗證明本文所提之方法能有效追蹤各式真實物件，並能適用於無標記擴增實境相關應用。-Augmented Reality technology currently most relevant applications to use mark-based, but the increasing demand for all kinds of applications, without marking (markerless) amplification technology more flexible use of reality, not necessarily limited to the use of tags, therefore the application level broader. Visual tracking technology is one of the important augmented reality system underlying core technology, but the use of visual tracking technology in practical applications susceptible to track changes and appearance of the object itself, and therefore in this paper applies to Amplification unmarked objects of reality application tracing method can effectively track all kinds of real objects. First, set the track object marquee then retrieve objects eigenvalues by eigenvalue than to keep track of objects, and uses of the pyramid LK optical flow method to shorten the computation time than on and finally converted via 2D-3D coordinates of the 3D virtual object superimposed to the r
Update : 2025-02-17 Size : 629kb Publisher : 鍾德煥
[Picture Viewer] Mulil DL : 0: Multispectral remotely sensing imagery with high spatial resolution, such as QuickBird, IKONOS satellite imagery or Aerial imagery, especially in urban scenes, often perform spectral variations and rich details within a category, resulting in a poor accuracy of classification. To seek an efficient solution, this paper presents a non-parametric and variational multiple level set model by a joint use of Aerial image and two products, digital terrain model (DTM) and digital surface model (DSM), directly or indirectly derived raw LiDAR (Light Detection And Ranging) 3D point cloud data. Proposed model is to minimize an energy function. The energy includes two terms. First term is mainly image-based energy which introduces Parzen Window density estimation technique in the multiple level set framework. To make up the disadvantages-Multispectral remotely sensing imagery with high spatial resolution, such as QuickBird, IKONOS satellite imagery or Aerial imagery, especially in urban scenes, often perform spectral variations and rich details within a category, resulting in a poor accuracy of classification. To seek an efficient solution, this paper presents a non-parametric and variational multiple level set model by a joint use of Aerial image and two products, digital terrain model (DTM) and digital surface model (DSM), directly or indirectly derived raw LiDAR (Light Detection And Ranging) 3D point cloud data. Proposed model is to minimize an energy function. The energy includes two terms. First term is mainly image-based energy which introduces Parzen Window density estimation technique in the multiple level set framework. To make up the disadvantages
Update : 2025-02-17 Size : 2.43mb Publisher : yangs
[Special Effects] Weprormulatioploye DL : 0: Wepropose a novel method for 3D image segmentation, where a Bayesian formulation, based on joint prior knowledge of the object shape and the image gray levels(In addition, we evaluate the performance of the level set representation of the object shape by comparing it with the point distribution model (PDM). We found the algorithm to be robust to noise and able to handle multidimensional data, while able to avoid the need for explicit point correspondences during the training phase)
Update : 2025-02-17 Size : 615kb Publisher : songggg