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Point Clouds, Part 2

  • Jeff Kramer
  • Nicolas Burrus
  • Florian Echtler
  • Daniel Herrera C. 
  • Matt Parker

Abstract

This chapter builds on what you learned about point clouds and the Kinect to explore more advanced 3-D concepts. We will extend our methods to handle more than one image at the time. There are many things we could do with a point cloud, and in this chapter, we will explore three areas:
  • Registration

  • Simultaneous localization and mapping (SLAM)

  • Surface reconstruction

Keywords

Point Cloud Depth Image Rigid Transformation Feature Position Nonlinear Minimization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Jeff Kramer, Nicolas Burrus, Florian Echtler, Daniel Herrera C., and Matt Parker 2012

Authors and Affiliations

  • Jeff Kramer
  • Nicolas Burrus
  • Florian Echtler
  • Daniel Herrera C. 
  • Matt Parker

There are no affiliations available

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