I'm in the middle of my qualification exams and ran across this interesting paper:
Liu, Z Kersten, D Knill, DC Dissociating stimulus information from internal representation--a case study in object recognition. Vision research. 1999; 39(3): 603-12.
However, I'm very confused about them calling the figure on the left an object. This is a collection of objects in 3D space - making it a scene. I'm not sure that this nullifies their model - but this is not object recognition.

People should really start using ideal observer analysis with scene perception...









Comments
Umm. But, that is the point. They are an "object". They are an object called a "scene". I.e., when you look at them, you naturally group them together as one "thing". In a 3D application, you might even do this implicitly, if you planned to move them all at the same time, in the same way, or export them, then reimport them someplace else, or you wanted to make multiple copies of the same "collection" of objects. So, they "are" an object, at least in the sense that our brain sees them as "belonging" to the same meta-object.
Posted by: Kagehi | June 25, 2009 5:29 PM
"People should really start using ideal observer analysis with scene perception... " it's true.
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I'm with you.
Posted by: dennis | August 15, 2009 2:58 AM
I'm teaching about opponent processes in color vision today and thought I'd share one of my favorite examples. This is how you use the human visual system to turn a black and white photo into color. Try it out:
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