CHAPTER 10 Spherical Imaging in Omnidirectional Camera Networks

Ivana Tošić, Pascal Frossard

Signal Processing Laboratory (LTS4), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Abstract

We propose in this chapter to consider the emerging framework of omnidirectional camera networks. We first describe how omnidirectional images captured by different types of mirrors or lenses can be uniquely mapped to spherical images. Spherical imaging can then be used for calibration, scene analysis, or distributed processing in omnidirectional camera networks. We then present calibration methods that are specific to omnidirectional cameras. We observe the multi-view geometry framework with an omnivision perspective by reformulating the ...

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