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This lecture explains the role of edges in computer vision and examines edge types, filtering and smoothing, evaluation criteria, detection algorithms, and real-world examples including human faces.
Syllabus
Introduction
Outline
Class Project
Example
Why do we see edges
Types of edges
Why perform edge detection
Real world examples
Real World Example
Simple Example
Filtering
Smoothing
Evaluation
Design Criteria
Algorithms
Human Edge Detection
Human Face Detection
Private Edge Detection
Real Image
Questions
Second Order Derivative
Taught by
UCF CRCV