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Introduction

  • Kenichi Kanatani
Chapter
Part of the Springer Series in Information Sciences book series (SSINF, volume 20)

Abstract

This chapter describes what is meant by image understanding. We begin with the imaging geometry of perspective projection, and introduce the camera rotation transformation, which plays a central role in subsequent chapters. Then, we discuss two typical mathematical approaches to the three-dimensional (3D) recovery problem—the 3D Euclidean approach and the two-dimensional (2D) non-Euclidean approach. Finally, the organization of this book is described.

Keywords

Image Plane Optical Flow Object Parameter Projective Transformation Perspective Projection 
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

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Kenichi Kanatani
    • 1
  1. 1.Department of Computer ScienceGunma University KiryuJapan

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