Face Detection and Gender Recognition EE368 Project Report Michael

Face Detection and Gender Recognition EE368 Project Report Michael Bax Chunlei Liu Ping Li 28 May 2003

Colour Spaces

RGB Colour-Space Histograms

HSV Colour-Space Histograms

Empirical PDF Approximation

Pixel Classification Error (RGB)

Pixel Classification Error (HSV)

Input Image

Pixel Segmentation Using the RGB Pixel PDF

Non-Face Object Removal

Size-based Non-Face Object Removal

Location-based Non-Face Object Removal

Object Size Threshold Correction

PCA-based Non-Face Object Removal

Connected Component Analysis Preprocessing Connected faces identification Face separation Low pass filtering, hole filling and background rejection Identification of connected faces based on statistical analysis Iterative separation of connected regions

Connected Components

Component Separation

Separated Components

Component Identification Template matching and peak thresholding to remove remaining non-face objects Removal of repeated faces segments using a distance constraint

Face Position Refinement The face centre is located at the bridge of the nose The centroid of the segmented face is somewhat inaccurate in finding face centres Multi-scale, high threshold template matching finds centres more accurately Use centroid for remaining faces

Image Pyramid-based Template Matching Training face preprocessing – Training faces were rotation compensated, registered, and resampled in greyscale – Resampled faces were averaged and masked Greyscale input image pyramid composition – 20% scale increments Normalized cross-correlation with nose bridge-centred average face template

Finding Faces with Template Matching High threshold for accurate centre location Moderate threshold for robust backup face location – if morphological subsystem gives unexpected results

Gender Detection Mean intensity Template matching using average of each female face Biased towards missing female faces to avoid false-positive penalty (9:1)

Face Detection Results

Results Statistics Image Hits Repeated False Hits Distance Time (s) Bonus 1 21 0 0 11.1 91 2 2 24 0 0 15.6 90 2 3 25 0 0 10.5 97 0 4 24 0 0 11.8 97 1 5 24 0 0 10.7 103 0 6 24 0 0 9.6 94 0 7 22 0 0 11.2 88 1 Average 23.4 0 0 11.5 94 0.86

Face Detection Gender Recognition 1 3 (19) 2 (1) 2 2 (20) 4 (0) 3 4 (18) 4 (0) 4 4 (18) 4 (0) 5 9 (13) 4 (0) 6 5 (17) 4 (0) 7 7 (16) 4 (0) 8 8 (14) 1 (2) 9 1 (22) 2 (1) 10 11 12 13 14 15 16 17