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  • 全新三维智能PACS相关图形图像技术(英文版)卢涤非9787313254566
  • 正版
    • 作者: 卢涤非著 | 卢涤非编 | 卢涤非译 | 卢涤非绘
    • 出版社: 上海交通大学出版社
    • 出版时间:2021-10-01
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    商品参数
    • 作者: 卢涤非著| 卢涤非编| 卢涤非译| 卢涤非绘
    • 出版社:上海交通大学出版社
    • 出版时间:2021-10-01
    • 版次:1
    • 印次:1
    • 字数:267000
    • 页数:196
    • 开本:16开
    • ISBN:9787313254566
    • 版权提供:上海交通大学出版社
    • 作者:卢涤非
    • 著:卢涤非
    • 装帧:平装
    • 印次:1
    • 定价:98.00
    • ISBN:9787313254566
    • 出版社:上海交通大学出版社
    • 开本:16开
    • 印刷时间:暂无
    • 语种:暂无
    • 出版时间:2021-10-01
    • 页数:196
    • 外部编号:1202527481
    • 版次:1
    • 成品尺寸:暂无

    Part One (Chapters 1~4)

    Chapter 1 Animating by example

    1.1 The significance of the animating-by-example method

    1.2 Survevs of related existine research and overview of our method

    1.2.1 Surveys of related existing research

    1.2.2 Overview of our method

    1.3 The main steps of the core algorithm

    1.3.1 Sketch based mapping

    1.3.2 Differential mean value coordinates for mesh deformation

    1.3.3 Stitching and smoothing meshes

    1.3.4 Interpolating between key frames

    1.3.5 Mapping 2D animations to 3D characters

    1.3.6 Solving the minimization problem for smoothing mesh

    1.4 Results of te eho

    1.5 Conclusions of this chapter

    Chapter 2 A new method of interactive marker-driven free-form mesh deformation

    2.1 The related works of free form mesh deformation

    2.2 Overview of the new method of free-form mesh deformation

    . The main steps of interactive marker-driven free-form mesh deformation

    ..1 The algorithm of shape deformation

    ..2 The algorithm of mesh smoothing

    .. Interpolating between two key frames

    2.4 Conclusions of this chapter

    Chapter 3 As-rigid-as-possible deformation clone

    3.1 The related works of deformation clone

    3.2 Overview of te eho

    3.3 The algorithm of deformation clone

    3.4 The and conclusions of te eho

    3.4.1 The results of te eho proposed in this chapter

    3.4.2 The conclusions of te eho proposed in this Chapter

    Chapter 4 A fast trapeziums-based method for soft shadow volumes

    4.1 Previous works of soft shadow volumes

    4.2 Obtaining soft shadows with ray tracing

    4.2.1 Finding oullglbal potential silhouette edges

    4.2.2 Getting local potentíial silhouette edges and exact silhouette edges

    4.. Projecting, modifying and spliting silhouette edges

    4.2.4 Constructing trapeziums to determine the visibility o iht source

    4.3 Resulsndcnclusions of the algorithm

    Part Two (Chapters 5 and 6)

    Chapter 5 Interactive mesh segmentation and contour optimization for liver & tumors

    5.1 The related works of liver and tumors segmentation

    5.2 Outline of the approach

    5.3 Main steps of the approach

    5.3.1 Finding chest bones

    5.3.2 Constructing chest mesh

    5.3.3 Constructing liver mesh

    5.3.4 Extended intelligent scissors

    5.3.5 Liver segmentation scheme

    5.4 Experiments and results

    5.5 Discussion and conclusions of this chapter

    Chapter 6 Design and development of smart PACS based on 3D intelligent scissors

    6.1 Design goals

    6.2 Feasibility analvsis

    6.3 Main development content

    6.3.1 Optimization of 3D intelligent scissors algorithm

    6.3.2 Development of smart PACS system

    6.3.3 System architecture

    6.4 System develomn ad implementation

    6.4.1 System modules

    6.4.2 Interface and tips of smart PACS

    6.5 Video of academic results created by smart PACS

    Appendix 1: Sparse matrix algorithms and software

    Appendix 2: Solving the minimization problem

    Appendix 3: Detailed evaluation results of 40 cases

    Appendix 4: Detailed evaluation results of 10 cases downloade fo MICCAI database

    Appendix 5: Introduction to DICOM

    Appendix 6: Project file format of smart PACS

    References

    Index

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