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How do human eyes consolidate images of different light intensity?

• A problem in computer vision is to find an object in images that have the object at different light intensities (sunny day vs. overcast), how does the brain deal with this?

• Answer:

  Human vision has a certain amount of illumination invariance built into it, as according to http://www.ncbi.nlm.nih.gov/pubmed/10678835, the neural representation of visual signals is based on the perception of contrast between differently illuminated regions, as opposed to their raw luminance values. This allows the retina to compress the visual information it receives before sending it down the optic nerve, which has a much lower information throughput capacity than the retina itself. This is a bit like running an edge detector over an image of the object in Photoshop and only storing the object's edges. This makes it potentially easier for the brain to build and store higher-level representations of objects that are robust to different illumination conditions. More on the subject: http://en.wikipedia.org/wiki/Retina#Spatial_encoding on Wikipedia http://redwood.berkeley.edu/bruno/papers/current-opinion.pdf