Multi-Camera Networks

CHAPTER 1 Multi-View Geometry for Camera Networks

Richard J. Radke

Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York

Abstract

Designing computer vision algorithms for camera networks requires an understanding of how images captured from different viewpoints of the same scene are related. This chapter introduces the basics of multi-view geometry in computer vision, including image formation and camera matrices, epipolar geometry and the fundamental matrix, projective transformations, and N-camera geometry. We also discuss feature detection and matching, and describe basic estimation algorithms for the most common problems that arise in multi-view geometry.

Keywords

image formation ...