1 How the Visual Cortex Recognizes Objects, The Tale of the Standard Model Greg McChesney Texas Tech University Jan 23, 2009 CS5331: Autonomous Mobile Robots
2 Talk Outline Overview of paper Discuss how object recognition works Discuss experiments performed Discuss the Standard Model Questions from Class Jan 23, 2009 CS5331: Autonomous Mobile Robots
What is the Paper About Describes how the eye recognizes images Discusses how cells react to seeing images Talks about a model to represent how the cortex works Jan 23, 2009 CS5331: Autonomous Mobile Robots3
Object Recognition Facts Recognition is mediated by ventral visual pathway Believe cortex vital to object recognition Simple cells respond to oriented bars Jan 23, 2009 CS5331: Autonomous Mobile Robots4
Experiments Knowledge gained from tests with: Monkeys Object recognition of a paper clip QUESTION: How do they get data from monkeys??? Experimental lesions into the monkeys Source: apers/tanaka97.pdf Humans New non evasive procedures to gather data Jan 23, 2009 CS5331: Autonomous Mobile Robots5
The Standard Model Model by which to represent cortex 2D images can be learned in 1 view 3D images can be many views Model in 2 parts Scale and position invariance View-invariant using view-tuned neurons Jan 23, 2009 CS5331: Autonomous Mobile Robots6
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More Standard Model Selectivity is required! Representation- in cortex Faces Places Body Parts Jan 23, 2009 CS5331: Autonomous Mobile Robots8
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Stand Model Continued Categorization Identification Pooling Max Mechanism Jan 23, 2009 CS5331: Autonomous Mobile Robots10
Questions? How does pooling by the maximum operation differ than the linear operation? Jan 23, 2009 CS5331: Autonomous Mobile Robots11
That’s it! Were Done! Jan 23, 2009 CS5331: Autonomous Mobile Robots12