On the estimation of depth from motion using an anthropomrphic visual sensor

  • Massimo Tistarelli
  • Giulio Sandini
Structure From Motion
Part of the Lecture Notes in Computer Science book series (LNCS, volume 427)


In this paper the application of an anthropomorphic, retina—like visual sensor for optical flow and depth estimation, is presented. The main advantage, obtained with the non — uniform sampling, is the considerable data reduction, while a high spatial resolution is preserved in the part of the field of view corresponding to the focus of attention.

As for depth estimation a tracking egomotion strategy is adopted which greatly simplifies the motion equations, and naturally fits with the characteristics of the retinal sensor (the displacement is smaller wherever the image resolution is higher). A quantitative error analysis is carryed out, determining the uncertainty of range measurements.

An experiment, performed on a real image sequence, is presented.


Optical Flow Depth Function Visual Sensor Retinal Sensor Real Image Sequence 
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-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Massimo Tistarelli
    • 1
  • Giulio Sandini
    • 1
  1. 1.Department of Communication, Computer and Systems ScienceUniversity of GenoaGenoaItaly

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