09_Perception_Action2_PatternRecognition_Presentation

09_Perception_Action2_PatternRecognition_Presentation -...

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Click to edit Master subtitle style Introduction to cognitive science Psych 102/COGST 101/LING 170/PHIL 191/ COMS 101
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Object Recognition The Basics Properties of the system Object recognition Unitary views of vision
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The Basics Object recognition focuses on the “what” path Goal is to recognize objects What they are Not where they are Not how fast are they moving
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Properties of the System Robust to variability Robust to “lossy” information Built on underlying visual system
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Robust to variability F f F f F f F
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Robust to “lossy” information HELLO
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Built on underlying visual system There are detectors for “features” of various levels. l Activation of a point on the retina l Lines made up of rows of points l Lines at different orientations
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A theory of object recognition Synthesis by features Evidence for features Word recognition Back to objects Recognition by components
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Synthesis by features We recognize object by recognizing features of the objects l And combining these into larger and larger units In the case of words, we recognize features that make letters that then make words
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Synthesis by features As a first step look for evidence that we have access to features in the visual system
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Evidence for features Serial vs. Parallel processing l Recognition of features should be automatic Easy wherever the feature is in space Easy what ever else is in space Takes no “conscious” effort “Pops out”
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09_Perception_Action2_PatternRecognition_Presentation -...

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