1. Local Binary Patterns (LBP)
Tsung-Yi Wu

2. Concept
Divide the examined window to cells (e.g. 16x16 pixels for each cell).
For each pixel in a cell, compare the pixel to each of its 8 neighbors (on its left-top, left-middle, left-bottom, right-top, etc.). Follow the pixels along a circle, i.e. clockwise or counter-clockwise.

3. Concept
Where the center pixel's value is greater than the neighbor, write "1". Otherwise, write "0". This gives an 8-digit binary number (which is usually converted to decimal for convenience).
Compute the histogram, over the cell, of the frequency of each "number" occurring (i.e., each combination of which pixels are smaller and which are greater than the center).

4. Concept Optionally normalize the histogram.
Concatenate normalized histograms of all cells. This gives the feature vector for the window.

5. Concept
LBP Operations

6. Concept
Illustration

7. Multi-scale Block LBP
Shengcai Liao et al.

8. Face Description
The basic methodology for LBP based face description proposed by Ahonen et al. (2006) is as follows:
The facial image is divided into local regions and LBP texture descriptors are extracted from each region independently. The descriptors are then concatenated to form a global description of the face

9. Face Recognition with LBP
Steps
Build Gallery LBP Histograms
Build the Probe LBP Histogram
Histogram
The recognition is performed using a nearest neighbor classifier
in the computed feature space with Chi square as a dissimilarity measure.

10. Face Recognition with LBP
Gallery and Probe Pictures

11. Face Recognition with LBP
Gallery and Probe Pictures

12. Face Recognition with LBP
Face Recognition with Decision Tree-based Local Binary Patterns

13. Histogram Matching
Many similarity measures for histogram matching have been proposed
histogram intersection is used to measure the similarity between two histograms

14. Histogram Matching Chi square as a dissimilarity measure
Log-likelihood statistic
Weighted X 2

15. References http://en.wikipedia.org/wiki/Local_binary_patterns
Learning Multi-scale Block Local Binary Patterns for Face Recognition
Face Recognition with Decision Tree-based Local Binary Patterns
Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor