Skip to main content

Part of the book series: Springer Series in Perception Engineering ((SSPERCEPTION))

  • 37 Accesses

Abstract

The previous chapter presented the mathematical mechanisms necessary for recovering depth information from grey-scale imagery. This chapter details the properties of image acquisition and image formation that IGA uses to infer the various parameters used in those mathematical mechanisms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer-Verlag New York Inc.

About this chapter

Cite this chapter

Skifstad, K.D. (1991). Theoretical Basis for IGA. In: High-Speed Range Estimation Based on Intensity Gradient Analysis. Springer Series in Perception Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3112-7_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-3112-7_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7801-6

  • Online ISBN: 978-1-4612-3112-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics