|
Have you ever watched carefully a rotating barberspole ?
Have you ever wondered why the stripes appear to move continuously
upwards although it is evident that the red&white stripe
pattern painted on the rotating cylinder is actually moving horizontally
?
|
|
This effects is related to a puzzle that is known in visual sciences
as the 'aperture problem'.
|
|
Note that you cannot see in which direction the
two lines are moving if your view is restriced to the inside
of the red circles (an 'aperture') - they both seem to move in
oblique direction. Only if you see the line ends, you realise that
the left line is moving horizontally, and the right line is moving
up and down !
|
|
|
The only way for the visual system to find out in which
of many possible directions a line or contour is actually moving,
thus is to focus at the line endings, or the intersection of
contours with boundaries.
|
|
|
In the Barbers Pole, more stripes intersect with the vertical
boundaries than with the horizontal boundaries, leading to a
stronger vertical than horizontal motion signal. Therefore the
visual system (the brain) interprets a diagonal stripe pattern
moving behind a vertical slit as moving downwards: this is an illusion
!
|
|
We can use this motion illusion a s a tool to study how the brain
combines ('integrates') motion signals from different parts of
the display.
|
|
For instance, in this cross-shaped configuration of a
horizontal and a vertical narrow slit the same diagonal stripe
pattern appears to move rightwards and upwards, respectively.
Which direction do you perceive at the intersection
of the two slits?
It turns out that motion in regions rather distant from the
intersection can drive the perceived direction at that intersection
point (for details, click here).
|
|
|
Using this kind of artificial motion stimuli, leading
to sometimes surprising illusions, we can study how motion information is processed in the human visual
system and combined with other information to guide adequate
behaviour, which is crucial to survive in complex environments,
like everyday traffic.
|