Introduction: When the visual system selects a peripheral target as its next region
of interest, it has not only computed the target’s spatial location, but it has
already selected a preferred landing point within the selected target
structure! This had already been shown in experiments made 40 years ago by
Richards and Kaufman:
But nobody has really investigated whether this also takes place during
free-viewing of natural scenes.
Method: We used Tatler’s data and my
implementation of the symmetric-axis transform to relate fixation points to
their nearest symmetric axis.
Results: We found that saccades toward L features and parallel lines landed in
specific locations, similar to what has been already measured by Richards and
Kaufman [manuscript as html].
Conclusion: Even during free-viewing of natural scenes, the visual system selects
preferred locations within a structure. No neural network or computer vision
algorithm can make these predictions. Bottom-line: it requires a novel model of
the translation-independent structure that allows computing the preferred target
points. This is exactly what I am working on, see my decomposition.
[manuscript as html, pdf] describes
our study
[link
to sym-axis] describes the symmetric-axes transform
[link to funding website] the website of the 5-lab European
collaboration