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A 4-WEEK PROJECT IN Active Shape and Appearance Models

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Presentation on theme: "A 4-WEEK PROJECT IN Active Shape and Appearance Models"— Presentation transcript:

1 A 4-WEEK PROJECT IN Active Shape and Appearance Models
by Renée Anderson and Vedrana Andersen

2 Overview Preprocessing (Renée) Building models (Vedrana)
Manipulating faces (Renée) Active appearance models (Vedrana) Tim Cootes

3 STATISTICAL MODELS Concept
Several steps developed by Cootes and Taylor: Data capture and representation Data normalization Statistical analysis

4 For each object (face, heart, spine): Image Landmark points
PREPROCESSING Data For each object (face, heart, spine): Image Landmark points Faces, hearts, spines

5 PREPROCESSING Cropping and Translation
Cropping out the background Center of gravity of landmark points in the center of image

6 PREPROCESSING Alignment
Allowed transformations: translation, rotation and scaling Iterative method: aligning each shape with mean shape

7 PREPROCESSING Masking
For visualization Leave inside of convex hull of landmark points

8 PREPROCESSING Warping
Mapping landmark points to mean shape Tried two - piecewise linear - thin-plate spline

9 PREPROCESSING Gray-level Normalization
Applying scaling and offset to gray-level vectors (samples) Iterative method: normalizing each gray-level vector with mean gray-level

10 BUILDING THE MODELS Normalized Data
Each object contributes with: Landmark points, aligned Shape-free patch, normalized Statistical analysis (PCA)

11 BUILDING THE MODELS Principal Component Analysis
Objects (shapes, gray-levels) as vectors: Distribution of s points in n- dimensional space Alternative coordinate system: - no correlations - sorted coordinates

12 BUILDING THE MODELS Principal Component Analysis
Method: finding eigenvectors and eigenvalues of the covariance matrix Linear model:

13 BUILDING THE MODELS Shape Model
Shape vector: Model:

14 BUILDING THE MODELS Gray-level Model
Gray-level vector: samples of gray values Model:

15 BUILDING THE MODELS Appearance Model
Appearance vector: Model:

16 BUILDING THE MODELS All Faces – Modes of Variation
First mode Second mode Third mode

17 BUILDING THE MODELS Neutral - Appearance Variation
Changing the first three modes of variation simultaneously

18 BUILDING THE MODELS Hearts - Appearance Variation
Changing the first three modes of variation simultaneously

19 MANIPULATING FACES Reconstruction

20 MANIPULATING FACES Caricatures

21 MANIPULATING FACES Forced Smiles

22 ACTIVE APPEARANCE MODELS Concept
Search – optimization to minimize Learning – estimating A Iterative model refinement

23 Thank you!


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