Face Recognition and Its applications
PART 1
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Face Recognition: Techniques, Methods and Applications, Slides of Electrical Engineering
An in-depth exploration of face recognition, discussing various techniques such as color information-based face detection, feature-based face matching, and template matching. It also delves into the use of neural networks, svm, and example-based learning approaches. Both static and video-based face recognition, along with a comparison of different face recognition evaluation protocols.
Typology: Slides
2012/2013
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Face Recognition and Its applications
PART 1
Contents
Introduction
Face detection using color information
Face matching
Face Segmentation/Detection
Facial Feature extraction
Face Recognition
Video-based Face Recognition
Comparison
Conclusion
Reference
Introduction
Face detection
- Geometric information based face detection
- Color information based face detection
- Combining them together
(a) Geometric information based face detection (b) Color information basedface detection
Color information based face detection
Face color is different from background
Choice of color spaces is very important Color Spaces:
- R,G,B
- YCbCr
- YUV
- r,g
- ……..
Skin color
Background color
Figure 4. Skin color distribution in a complex background Docsity.com
Ideas: (1) compensate for lightning, (2) separate by transforming to new (sub) space.
Ideas: (1) compensate for lightning, (2) separate by transforming to new (sub) space.
(3) clustering. Docsity.com
Location and shape parameters of eyes are the most important features to be detected through segmentation and morphological operations (dilation and erosion). Docsity.com
The concept of eye glasses
The concept of half-profiles
Face Matching
- Feature based face matching
- Template matching
Features versus templates
Normalization
( y)
I T
mean I T mean I T
C
T
T N σ σ
Eye
location
Normalization: rotation
normalization, scale normalization
Cross Correlation :
object (^) template
Averaged for objects
Feature extraction
- Eyebrow thickness and vertical position at the eye center
position
- A coarse description of the left eyebrow’s arches
- Nose vertical position and width
- Mouth vertical position, width, height upper and lower lips
- eleven radii describing the chin shape
- Bigonial breadth (face width at nose position)
- Zygomatic breadth (face width halfway between nose tip and
eyes).
3.5-D feature vector Docsity.com