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Robotics, Vision and Control

Fundamental algorithms in MATLAB: Second Edition

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11: Image formation

One picture is worth a thousand words — Fred R. Barnard

This chapter discuss how images are formed and captured, the first step in robot and human perception of the world. From images we can deduce the size, shape and position of objects in the world as well as other characteristics such as color and texture.

The chapter covers:

  • perspective image formation
  • lens distortion models
  • camera calibration: homogeneous transform approach and planar target approach
  • pose estimation
  • fisheye camera model
  • catadioptric camera model
  • spherical camera model
  • unified imaging model

General


MATLAB software


Software

  • AprilTag, visual fiducial markers
  • ArUco, square fiducial markers (University of Córdoba)

These links are kept in one place for every edition and checked monthly. Resources for every chapter.