1. Presentation 4
Zach Robertson

2. Our method
Pedro’s method
Low threshold, false positive
Low threshold, no false positive
High threshold, false negative

3. Head Detector
Our method
Pedro’s Method

4. Train Human Model in 3D
We need a good descriptor for depth as good as HOG for RGB
What should we use for Depth?

5. Papers
Invariant Surface Characteristics for 3d Object Recognition by Besl and Jain
Mean curvature and Gaussian Curvature as visible invariant

6. Gaussian Curvature Mean Curvature
Gives where surface is convex, saddle, or flat
Indicates surface shape at a pixel
Mean Curvature
The average of the principal curvatures
If zero, minimal surface

8. Coded Produce normal vectors Produce mean curvature
Produce gaussian curvature

9. Train SVM There are 9 different possibilities
Only 8 will actually happen
Created a histogram of curvature

10. Noise

11. Normal and Curvatures Norm in Z direction Norm in X direction
Norm in Y direction
Mean Curvature
Gaussian Curvature

12. Fixing Noise Use the median to smooth
Save images in lossless format (such as .png)
Changing the range of values from 0 to 255 to 0 to 4000
Allows more detail to be maintain

13. Median Smoothed
Gaussian Smoothed