“The Checker Shadow Illusion: Do We Perceive Reality?”


“The Checker Shadow Illusion: Do We Perceive Reality?”
by Jerry Coyne

“I recently finished Steve Pinker’s "The Blank Slate" (recommended!), and in one chapter was taken by his discussion about whether human senses perceive a real, external reality or whether that reality is somehow “constructed” socially or by our senses.  If you’ve read the book, you know that Pinker comes down on the “it’s real” side (this solution is obvious to all but a moron*)—but not always: what we perceive as “real” is sometimes distorted by our expectations.  That, of course, is the basis of optical illusions.

One of Pinker’s examples was the famous “checker shadow illusion,” which completely bamboozled me. In case you haven’t seen it, I’ll reproduce it here. Take a look at this checkerboard, and at squares A and B.  They’re different shades, right?
Nope—they are exactly the same color and shade! Don’t believe it? (I didn’t.) 
 Check out this video, which connects those two squares with a like-colored bar,
 demonstrating that they’re the same:
If you’re still not convinced, there’s another demonstration here.

This famous illusion was produced by Edward Adelson, a professor of vision science at MIT.  (I’ve given references to two of his papers below, the second of which has some other cool video illusions.)  According to Pinker (and I buy his point), these illusions are hitchhiking on evolved adaptations of our visual system.

Here’s Adelson’s explanation for the checker shadow effect, which involves how our visual system distorts external reality as way to compensate for how things should look under situations of shadow and local contrast: "Why does the illusion work? The visual system needs to determine the color of objects in the world. In this case the problem is to determine the gray shade of the checks on the floor. Just measuring the light coming from a surface (the luminance) is not enough: a cast shadow will dim a surface, so that a white surface in shadow may be reflecting less light than a black surface in full light. The visual system uses several tricks to determine where the shadows are and how to compensate for them, in order to determine the shade of gray “paint” that belongs to the surface.

The first trick is based on local contrast. In shadow or not, a check that is lighter than its neighboring checks is probably lighter than average, and vice versa. In the figure, the light check in shadow is surrounded by darker checks. Thus, even though the check is physically dark, it is light when compared to its neighbors. The dark checks outside the shadow, conversely, are surrounded by lighter checks, so they look dark by comparison. A second trick is based on the fact that shadows often have soft edges, while paint boundaries (like the checks) often have sharp edges. The visual system tends to ignore gradual changes in light level, so that it can determine the color of the surfaces without being misled by shadows. In this figure, the shadow looks like a shadow, both because it is fuzzy and because the shadow casting object is visible.

The “paintness” of the checks is aided by the form of the “X-junctions” formed by 4 abutting checks. This type of junction is usually a signal that all the edges should be interpreted as changes in surface color rather than in terms of shadows or lighting.

As with many so-called illusions, this effect really demonstrates the success rather than the failure of the visual system. The visual system is not very good at being a physical light meter, but that is not its purpose. The important task is to break the image information down into meaningful components, and thereby perceive the nature of the objects in view."

*As expressed in this limerick:

"A Christian Scientist from Theale
Said, “Though I know pain isn’t real,
When I sit on a pin
And it punctures my skin
I dislike what I fancy I feel.”
References: Adelson EH (1993) Perceptual organization and the judgment of brightness. Science 262:2042–2044

Adelson EH (2000) Lightness Perception and Lightness Illusions. In The New Cognitive Neurosciences, 2nd ed., M. Gazzaniga, ed. Cambridge, MA: MIT Press, pp. 339–351

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