1 / 10

A study on face system

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.

Download Presentation

A study on face system

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


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

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

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

  4. 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

  5. Color Based Segmentation— Skin model construction The original image was taken from http://nn.csie.nctu.edu.tw/face-detection/ppframe.htm

  6. Color Based Segmentation— Skin model construction The original image was taken from http://nn.csie.nctu.edu.tw/face-detection/ppframe.htm

  7. Color Based Segmentation— Skin model construction • Gaussian mixture colour models for face detection. http://www.dcs.qmul.ac.uk/research/vision/articles/bmvc97/node1.html

  8. 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 • Frame differencing • Thresholding: • Noise removal • Locate the face http://ansatte.hig.no/~erikh/papers/hig98_6/node2.html#bevdet

  9. A typical motion image Related techniques –Change Detector Amount of pixels on each line in the motion image The original images were taken from http://ansatte.hig.no/~erikh/papers/hig98_6/node2.html#bevdet

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

More Related