Home > Papers from 2017 > What type of vision works for navigation?

What type of vision works for navigation?

First of all, Happy New Year!

To start the year, we have a paper that arrived just before Christmas.
One of the interesting debates surrounding insect visually guided behaviour is the nature of the visual information that insect visual systems extract in order to guide behaviour. Do insects need to extract local visual features as we do in order to identify discrete objects? Or can insects control behaviour with simple global descriptors of visual scenes. Certain tasks, such a mate chasing or flower detection presumably really on feature extraction, however it is not clear whether this is necessary for visual navigation. Fleer and Möller address this question from a theoretical perspective, by asking whether feature based or holistic-scene methods are more accurate when used to recover positional information from stored views. They find that holistic methods can be effective and are certainly computationally cheaper. However they are susceptible to overall changes in light levels. So perhaps from a biological perspective, early visual processing that mitigates changes in light-level, might then allow insects to take advantage of the computational efficiency of holistic methods.

Fleer, D., & Möller, R. (2016). Comparing holistic and feature-based visual methods for estimating the relative pose of mobile robots. Robotics and Autonomous Systems.
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Categories: Papers from 2017
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