See Inside
Reading between the Lines: How We See Hidden Objects
When an object is partially hidden, the brain deftly reconstructs it as a visual whole
By
Vilayanur S. Ramachandran
and
Diane Rogers-Ramachandran
All of which reminds us that a key goal of vision is to detect objects (not merely contours), using any information that happens to be available. Both modal and amodal completion, and the illusions they inspire, derive from this elementary visual imperative
This article was originally published with the title Reading between the Lines.
ABOUT THE AUTHOR(S)
VILAYANUR S. RAMACHANDRAN and DIANE ROGERS-RAMACHANDRAN are at the Center for Brain and Cognition at the University of California, San Diego. They are on the board of advisers for Scientific American Mind.
3 Comments
Add CommentAs I understand, the brain includes a specialized pattern recognition system that can recognize faces, familiar shapes, etc., much faster than we can process language, for example. It seem quite feasible that this 'dedicated hardware' is simply invoked many times in a brute force attempt to identify a discrete number of critical but incomplete shapes within visual data.
Reply | Report Abuse | Link to thisGeneral purpose computers serially process data, whereas parallel architectures can (once required data is in place) can perform a given function on an array of like data (such as an image) in the time required to process a single element (pixel). A specialized parallel image comparator could very quickly provide assessments of partial images, whereas a similar process implemented using serial functions would require an enormous amount of processing logic, move a lot of data and take a very long time to complete.
This image recognition function is very important and useful to living organisms...
I think it's likely we'll see the same generalized amodal completion algorithm at work in all forms of sensory processing and cognition: language, proprioception, etc.
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