mem380_05 - Color MEM380 Fundamental Robotics II Winter...

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1 MEM380 Fundamental Robotics II Winter 2010 Additional Feature MEM380: Fundamental Robotics I Fal 2009 1 Additional Feature Extraction Color: Convolution Definition Continuous Discrete Graphical Explanation of Convolution
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2 Applying Masks to Images 1 1 1 1 1 1 1 1 1 2 4 2 2 2 1 1 1 1 1 1 1 1 1 1 Convolution of the Image w/ another “Signal” Masks have origins Symmetric masks – origins are the center pixels Linear Functions Simplest: Linear filters Key Idea: Replace each pixel by a linear combination of its neighbors The prescription for the linear combination is called the convolution kerne called the convolution kernel Simple Neural Network
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3 The Retina: Up-Close
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4 Linear Filtering: Warm – Up Exercise I Linear Filtering: Warm – Up Exercise II Linear Filtering: Warm – Up Exercise III Blur Examples
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5 Linear Filtering: Warm-Up Exercise IV Linear Filtering: Warm – Up Exercise V Remember Blurring Linear Filtering: Warm – Up Exercise V
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This note was uploaded on 03/29/2010 for the course MEM MEM380 taught by Professor Zhou during the Spring '09 term at Drexel.

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mem380_05 - Color MEM380 Fundamental Robotics II Winter...

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