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Part of the book series: Advances in Pattern Recognition ((ACVPR))

Abstract

This chapter introduces some basic concepts and ideas of computer vision, such as imaging geometry of cameras, single view geometry, and two-view geometry. In particular, the chapter presents two practical examples. One is on single view metrology, calibration, and reconstruction; the other is a hybrid method for reconstruction of structured scenes from two uncalibrated images.

Mathematics is the tool specially suited for dealing with abstract concepts of any kind and there is no limit to its power in this field.

Paul Adrien Maurice Dirac (1902–1984)

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Correspondence to Guanghui Wang or Guanghui Wang .

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Wang, G., Wu, Q.M.J. (2011). Introduction to 3D Computer Vision. In: Guide to Three Dimensional Structure and Motion Factorization. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-0-85729-046-5_1

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  • DOI: https://doi.org/10.1007/978-0-85729-046-5_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-045-8

  • Online ISBN: 978-0-85729-046-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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