A study on face system Speaker: Mine-Quan Jing National Chiao Tung University

Outline Application Related techniques  Segmentation  Identification  Recognition Progress ( 目前進展 ) Systems Demo  NTU,NCTU,NTHU,ACADMIA SINICA

Related techniques – Segmentation How to find the face in a scene  Color Based  Change Detector (CD)  Background Subtraction  Temporal Difference  Hybrid

Related techniques – Color Based Segmentation Skin Color & shape (elliptical) are often used in detect and track faces The disadvantage:  Do not work with all kind of skin color  Not robust under varying lighting condiction

Color Based Segmentation — Skin model construction The original image was taken from

Color Based Segmentation — Skin model construction The original image was taken from

Color Based Segmentation — Skin model construction Gaussian mixture colour models for face detection.

Related techniques – Change Detector a face is almost always moving Disadvantages:  What if there are other object moving in the background. Four steps for detection 1. Frame differencing 2. Thresholding: 3. Noise removal 4. Locate the face

Related techniques – Change Detector A typical motion image Amount of pixels on each line in the motion image The original images were taken from

The 5th International Conference on Automatic Face and Gesture Recognition will take place 2002 in Washington D.C., USA.