In this paper, polarization tensors provide a plausible low-dimensional representation of the response of an isolated object in an electric field that captures shape information about the object independently of position and transform naturally under rotation. It would certainly be a candidate for the basis of human-made algorithms to replicate some of the capabilities of electrosensing fish. Polarization tensors can also be used for locating and characterizing metal objects using eddy current inductive measurements, and similar theory has been developed for far-field radio and sound wave remote sensing methods.

Chapter Contents:

• 11.1 Electrosensing in fish and electrical imaging by humans
• 11.2 Algorithms for electrical imaging
• 11.3 Polarization tensors
• 11.4 Generalized polarization tensor
• 11.5 The second rank polarization tensor
• 11.6 PT in electrosensing fish
• 11.7 PT in metal detection by human technology
• 11.8 Conclusions
• References

Inspec keywords: tensors; biology computing; object recognition; bioelectric phenomena; eddy currents; biological techniques

Other keywords: polarization tensors; electrosensing fish; far-field radio wave remote sensing methods; human-made algorithms; electric field; eddy current inductive measurements; object recognition; weakly electric fish; shape information; sound wave remote sensing methods

Subjects: Bioelectricity; Biology and medical computing; Computer vision and image processing techniques; Biophysical instrumentation and techniques; Image recognition; Biological engineering and techniques