IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-89180-0_1.html
   My bibliography  Save this book chapter

Introduction

In: 3D Point Cloud Analysis

Author

Listed:
  • Shan Liu

    (Tencent Media Lab)

  • Min Zhang

    (University of Southern California)

  • Pranav Kadam

    (University of Southern California)

  • C.-C. Jay Kuo

    (University of Southern California)

Abstract

3D point clouds have gained widespread attention in recent years due to their importance in 3D computer vision. In this chapter, we briefly describe the fundamentals of 3D point clouds, starting with a formal definition and the process by which they are formed. We then introduce several other popular 3D representations like 3D meshes and voxel grids, and compare these representations with point clouds. We further discuss the common tasks encountered in point cloud processing, including point cloud registration, object classification, semantic segmentation, object detection, and point cloud odometry. Next, we present some common applications of point clouds. Finally, we present some of the datasets that are frequently used in the research and development of 3D point cloud processing methods and algorithms. Overall, this introductory chapter forms the basis for the further chapters, which delve deeper into point cloud processing methods and related techniques.

Suggested Citation

  • Shan Liu & Min Zhang & Pranav Kadam & C.-C. Jay Kuo, 2021. "Introduction," Springer Books, in: 3D Point Cloud Analysis, chapter 0, pages 1-13, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-89180-0_1
    DOI: 10.1007/978-3-030-89180-0_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-89180-0_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.