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基于八叉树编码的点云压缩研究与实现

ACKNOWLEDGEMENT第5-6页
ABSTRACT第6页
摘要第7-11页
List of Abbreviations第11-13页
Chapter 1:Introduction第13-19页
    1.1 Overview第13-17页
    1.2 Motivation第17页
    1.3 Problem Statement第17-18页
    1.4 Thesis Outline第18-19页
Chapter 2:Key Technologies第19-30页
    2.1 Point Cloud Compression第19-21页
    2.2 Compression Techniques第21-22页
    2.3 Point Cloud Library (PCL) Properties第22-25页
        2.3.1 Filtration第22-24页
        2.3.2 Features第24-25页
    2.4 Data Structures for Point Cloud Compression第25-29页
    Summary第29-30页
Chapter 3:Related Works第30-38页
    3.1 Achieving Real-Time Compression using Double Buffer Octree Technique第30页
    3.2 Double Buffer Octree第30-32页
    3.3 Conventional Image Compression Technique for data transmission for Point Clouds第32页
    3.4 XML based Compression Scheme for dense point cloud streaming第32-34页
    3.5 Efficient Processing of Large 3d point cloud第34-35页
    3.6 Octree-based Algorithm for Scattered Point Clouds第35-36页
    3.7 Combination of Octree and Quadtree for Point Cloud Compression第36页
    3.8 Usage of Octree Data Structure第36-37页
    Summary第37-38页
Chapter 4:Single Octree-based Static Point Cloud Compression第38-48页
    4.1 Octree Based Encoding for Point Cloud Compression第38-41页
    4.2 Significance of Outliers removal for Octree and Compression第41-47页
    Summary第47-48页
Chapter 5:Simulation Results第48-56页
    5.1 Tools and Technologies第48-51页
    5.2 Compression Results第51-52页
    5.3 Double Buffer Vs Single Octree第52-55页
    Summary第55-56页
Chapter 6:Conclusion and Future Work第56-58页
    6.1 Conclusion第56-57页
    6.2 Future Work第57-58页
Reference第58-60页

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