What Is Computer Vision?
1.Image analysis.
2.Scene Analysis.
3.Image Understanding.
4.Processing acquired data.
5.Data Segmentation and Representation
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Who’s better?
The ages old :
HUMAN VS COMPUTER
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What we do
1.Image Acquisition.
2.Image Processing
3.Image Feature Extraction.
4.Image Data Detection, Recognition and
Segmentation .
5.Interpretation.
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How we do it
1. Shape
2. Texture
3. Background – Foreground.
4. Color
1. HSV – Hue , Saturation , Intensity.
2. RGB - red , Green Blue
3. LAB – Light , Green to Magenta, Blue to Yello
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Do we really see such
range of data?
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Where’s the Mathematics they keep
talking about?
1.Linear algebra
2.Probability and Statistics
3.Calculus
4.Signal Processing
5.Projective geometry
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Applications?
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Smart car Domain
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Rovers, robots, bots
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Medical Imaging
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OpenCV
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CSE 576, Spring 2008 FACE RECOGNITION AND DETECTION 16
Recognition problems ?
What is it?
◦ Object and scene recognition
Who is it?
◦ Identity recognition
Where is it?
◦ Object detection
What are they doing?
◦ Activities
All of these are classification problems
◦ Choose one class from a list of possible candidates
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Haar features
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Viola – Jones Algorithm
1.Haar
2.Integral features
3.Adaboost
4.Cascading
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Let’s get coding
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What more?
1. Face Recognition.
2. Emotion Recognition.
3. Behavior Detection.
4. Object Classification.
5. Object Detection.
6. LPR and Speed Detection and Estimation.
7. Medical analysis
8. QA
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Reach me on :
Website : https://ashwin-phadke.github.io
Email : [email protected]
Telegram : @AshwinPhadke