Lecture5-HighLevelVision

Lecture5-HighLevelVision - Lecture 5: High-level Vision...

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1 Lecture 5: High-level Vision Fall 2007 Prof. Lombrozo Overview of today’s class: 1. Object recognition - Feature detection theories - Structural description theories - Template matching theories 2. Face recognition Reminder: Assignment 1 due by Wednesday @ 10pm 5.2 The problem of perception The goal : To infer the structure of the external world from the information available to our senses. A solution? Perceptual systems make reasonable guesses based on reliable cues. 5.3 Organization of vision Low-level vision Edge detection Color Spatial localization Mid-level vision Object features Fig/ground segmentation Perceptual organization High-level vision Object recognition Face recognition Scene recognition “Einstein”
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2 The problem of object recognition Problems of Ambiguity: – Different objects can look the same The goal : To identify the objects in the external world from the information available to our senses. 5.4 5.5 The problem of object recognition Problems of Variability: – Objects within a category can vary – Views of objects can vary The goal : To identify the objects in the external world from the information available to our senses. • Shape • Color • Context • Texture • Size • Etc… 5.6 What are reliable cues for object recognition?
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5.7 If you see it and you know it clap your hands…. 5.8 Color can facilitate recognition Images from Naor-Raz, G., Tarr, M. J., & Kersten, D. (2003) 5.9 If you see it and you know it clap your hands…
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Lecture5-HighLevelVision - Lecture 5: High-level Vision...

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