05_vision_1 - CS 53000 Introduction to Scientic...

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Human Vision Slides courtesy of Penny Rheingans (UMBC) September 10, 2009 CS 530 Introduction to ScientiFc Visualization CS 53000 Introduction to ScientiFc Visualization
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Studying Human Vision is DiFfcult Brain is complicated 100x10 9 neurons, 60x10 12 synapses Vision: ~50% oF brain associated with seeing Interactions Adaptation (time, conditions) Context dependent Active High-level knowledge
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Methods For Studying Human Vision Dissection and Histology Animal measurements Structural and Functional brain imaging Modeling Human (subjective) experiments
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Dissection
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Histology
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Animal Studies
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Functional / Structural Brain Imaging Functional MRI Diffusion Tensor MRI
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Modeling Try to predict particular aspects oF vision via computer models Neurons ±unctional elements Build artifcial systems that mimic behavior oF real ones
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Subjects respond to stimuli and task Verbal Mechanical (e.g. button) Human Subjects: Psychophysics !@#$@#% @#$@# $@#!
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Format o± Discussion System – neurosciences Subjective experiences – psychophysics Illusions Evolutionary (role o± vision ±or human survival) Pathways
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Human Vision What’s It For? Shape/size Depth Motion Recognition
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009 Properties oF Vision Accurate relative to other senses Location, size, and identifcation at a distance Limitations Veridical perception is limited Absolute judgments are oFten poor Lack oF quantifcation Good at Relative judgments Time and space Identifcation
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009
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CS530 - Introduction to Scientifc Visualization Purdue University Spring ‘08 CS 53000 - Introduction to Scientifc Visualization - 09/10/2009
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This note was uploaded on 10/24/2009 for the course CS 530 taught by Professor Staff during the Fall '08 term at Purdue University-West Lafayette.

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05_vision_1 - CS 53000 Introduction to Scientic...

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