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I-TAG: AUTO FACE TAGGING ASSISTANT by Duygu Sarıkaya,Ahsen Yergök,Dilek Demirbaş. OUTLINE. Motivation Problem Definition Existing Systems Proposed Solution How it Works Face Detection Eigenface User Interface Demo Conclusion. PROBLEM DEFINITON. Tagging Manuel Time consuming - PowerPoint PPT Presentation
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I-TAG: AUTO FACE TAGGING ASSISTANT
by
Duygu Sarıkaya,Ahsen Yergök,Dilek Demirbaş
OUTLINE
Motivation
Problem Definition
Existing Systems
Proposed Solution
How it Works
Face Detection
Eigenface
User Interface
Demo
Conclusion
PROBLEM DEFINITON
Tagging
Manuel
Time consuming
tedious
EXISTING SYSTEMS
EXISTING SYSTEMS
Detect faces
EXISTING SYSTEMS
EXISTING SYSTEMS
Tag photos of self
EXISTING SYSTEMS
IPhoto
Faces and Places
PROPOSED SOLUTION
Automatically Tag Faces
based on facial properties
FACE DETECTION
Detect Faces in a Given Image
EIGENFACE
Data Set
EIGENFACE
Step 1
Transformation
Step 2
Mean Image
EIGENFACE
Step 3
Difference ”Φ”
Step 4
Calculate eigenvectors and eigenvalues
EIGENFACE
Step 5
EIGENFACE
Recognition
A new face
Best description for the input image
Euclidian Distance
Two threshold value
Unknown face
Another image
EXPECTED RESULTS
automated-tagging system
İnstead of a time-consuming system “i-Tag”
But the success rates are highly dependant on;
illumination
Size
color changes of the photographs