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Monocular Vision — Segmentation in Additive Images

  • David Vernon
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 623)

Abstract

This chapter begins the presentation of the core material in the book. Here, we develop and apply a technique to separate additive images (i.e. images formed by the addition of a number of component images) into their additive components. We will assume that each component image is translating with some unknown and possibly zero velocity. Specifically, given a time sequence of a number of images, each formed by the addition of two distinct but perhaps identical images — distinct in the sense that the component images are moving with a different velocity — we will show how one can recover the two component images. In the next chapter, we will extend these results to the case where the images are not formed by additive superposition but by occluding superposition, i.e. the images comprise two objects or scenes, one occluding the other.

Keywords

Phase Change Spatial Frequency Image Sequence Optical Flow Fourier Component 
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 Science+Business Media New York 2001

Authors and Affiliations

  • David Vernon
    • 1
  1. 1.National University of IrelandMaynoothIreland

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