face id manual

8/8/2019 Face Id Manual

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F A C E I D W E B C A M L O G I N S Y S T E M ( R E L E A S E D T O P U B L I C )

YANGS SCIENTIFIC RESEARCH INSTITUTE, LLC.

FaceID Webcam Login System

User Guide

Volume

4


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F A C E I D W E B C A M LO G I N S Y ST E M

User Guide

Copyright2005 Yangs Scientific Research Institute, LLC. ALL RIGHTS RESERVED

Yangs Scientific Research Institute, LLC., 1303 East University Blvd Suite 20882Tucson, Arizona 85719-0521, USA.

Email [email protected] Fax 760.418.8415http::/ / www.YangSky.us

Copyright 2005 Yangs Scie nt i f ic Researc h Inst i tut e, LLC. ALL RIGHTS RESERVED.
mailto:[email protected]:[email protected]


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Chapter

0


t i

Introduction

FaceID applies Physical Linguis ic V sion Technologyto allow users to login

their computers, their electronic accounts, and email account without using traditional

passwords. Instead, FaceID can identified the users by analyzing the cognitive featuresof users faces. FaceID provide a unique biometric ID for the sake of the security of

both the virtual and the real worlds.

The unique vision processing and understanding platform invented by the chief scientist of YangsScientific Research Institute, called Physical Linguistics Vision Technology, constitutes thebackbone of FaceID software package for webcam-based personal security system andidentification used in Windows operating systems. FaceID targets the market of biometrics,

security technology, identification and verification. In the PC market, FaceID can serve as an advancedlogin system..

This document addresses the operations of the demo program of FaceID package. FaceID was firstreleased in October 27, 2005 and had been maintained and revised since then by Yangs Scientific ResearchInstitute, LLC.(Yangs Scientific).

There are two kinds of commercial packages associated with FaceID software package. The first one is forthe ender users and will be licensed to the ender users via a license fee per machine method. The secondone is a developers package to help computer programmers develop their own applications such as fileaccess control system, account management systems, and online shopping.

The webcam used by FaceID can be a cheap and low-end product, the working condition is important and

yet not critical. The users can choose the FaceID to automatically detect and identify a given face, to buildtheir own face database and IDs. FaceID gives users more flexibility to tradeoff between false alarm rateand the security of the face login systems.


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Table of Contents

In t roduc t ion i

C H A P T E R 1

Gett ing Star ted 1

C H A P T E R 2

Face Login Systems Using Webcams 11

C H A P T E R 3

Troubleshoot ing 19

C H A P T E R 4

FAQ 23

C H A P T E R 5

Support and Order ing Informat ion 26

Index 28



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Chapter

1Gett ing StartedThis chapter shows how to install FaceID into your computer

with windows operating system.

To install FaceID into your computer, please follow the following steps. Ifyou downloaded FaceID Setup from YangSkys Website, you should go tothe download directory. If you install the developers package from a CD,you should find the installer at the root directory of the installer CD.

Step 1: Begin to install

Double click the FaceID Setup icon.

1Copyright 2005 Yangs Scie nt i f ic Researc h Inst i tut e, LLC. ALL RIGHTS RESERVED.


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Step 2:

You will see the following interface of the installer.

ClickNext.


D:\Demo\Face ID\run\Face IDManual.dot Last pr inted 11/5/2005 11:52 AM Version 1.


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Step 3:

On this page, select the first radio button and then




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ClickNext.

Step 4:

Read through the important information




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then clickNext

Supply password for the training




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Step 5:

Enter the information and then clickNext




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Step 6:

Check both choices to make quick launch links to the FaceID such that you caneasily to locate it from time to time

ClickNext




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Step 7:

ClickInstall to install these tasks, you can change options by clicking Back.




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What you see next

ClickNext then we have




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ClickFinish to launch the FaceID as follows.




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Face Login Systems

Using Webcams

This chapter shows how to build your own face login controlsystem by using a webcam and FaceID software pack age.

To build a personal account login system by using a webcam and FaceID,you need to have at least one webcam connecting to the USB ports ofyour computer. FaceID will work to its optimal potential when the settingsof the computer, the lighting condition, the choice of the webcam are

optimal.

Choosing Webcams

We recommend the user to use webcams with good optical systems. To reducecost, many webcams use cheap plastic lens, their optical resolutions are low. A ruleof thumb is to choose a webcam with big glass lens. The webcam to the left isbetter than the one to the right because the left one has a much bigger glass lensthan the plastic lens installed in the right hand side webcam. FaceID can supportcheap and low-end webcams under typical working conditions. The resolution of awebcam is also an issue to take care of. The recommend Webcam resolution is640x480 pixels. FaceID can also work on 320x280 pixel resolution though.

Webcam with better lens Webcam with small lens


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Choosing Computers

FaceID uses the advanced image processing technology called physical linguisticvision technologies. Although FaceID has been optimized to take less computing

resources, the image-processing nature of webcam video stream makes a trade-offbetween the performance of mouse controlled by using webcam and the speed ofcomputer that is directly related to the price of the computer. Since FaceID uses aUSB webcam, the bandwidth of your USB port can affect the responding speed ofthe FaceID. For example, a slow computer with a narrow USB bandwidth can notfollow the fast motion of a user. However, since the intensive computation can ofFaceID only happens when an Enrolling process is going on, the user might notfeel a slow PC cause big troubles.

Working Conditions of Webcams

FaceID needs to work under a range of conditions. The proper working conditionsfor FaceID are:

A good lightening condition. A good enrolling environment. The background is not too messy and confusingThe following are snapshots taken under good working conditions.

Case 1: Simple background and few reflection of light.




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Case 2: The user facing the webcam and well-focused.

The following case is not a good working condition because the view is too messy.

The following image is out of focus and three persons in the view of the webcamto cause ambiguities.




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The FaceID Interface

FaceID has a very simple control interface as follows:




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All the commands can be initialed from the toolbar as follows.

Webcam Controls

The Camera Format toolbar controller can be used to change the video size(thecapture resolution) of the webcam, one example interface is as follows, yourwebcam may have different interface.




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The Camera Parameters toolbar controller can be used to change the videocontrolling parameters for the webcam.




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Enroll and Login Sett ings

FaceID has two main sets of actions: Enroll and Login. There are two Enroll andtwo Login actions listed as follow.

The Start Enroll toolbar controller enables FaceID to start a fresh Enroll for anexisting user or a new user. For new user, a new face base will be setup and forexisting the existing face bases will be updated and maintained.

The Finish Enroll toolbar controller enables FaceID to clear up the collected face

images and apply Physical Linguistic Vision Technologies to the collected data. Start

Enroll must be ended by Finish Enroll in order to completely enroll a user.




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The Login toolbar controller enables FaceID to identify and compare a useragainst its database and identify a user.

The Logout toolbar controller enables FaceID to close the login section of thecurrent user.(it is not implemented yet).

Enroll a New User

FaceID provides a very simple and automatic method to enroll a new user. Pleasefollow the following steps to enroll your first account with FaceID. Before youdoing enroll, please make sure that for at least 5 minutes that you are the only one

that the webcam can look at. If some people are far away in the background willnot hurt as long as their faces are not too big.

Start up the FaceID program either from the task bar, the desktop or the quick-launch bar, you will get the main interface at follow:

Where would you like to put your face on the picture is not important at all, theonly important thing is the size of your face should be reasonable big. Then click

Start Enroll and then you will get the following interface:




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click OK and then you get

Key in your user name as request into the white bar, for example, test123, we have

click OK we have the following welcome message:

This message shows that user name test123 corresponds to a new user, therefore anew database entry will be created. Click OK and we have




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Bad samplesof the face

Good samplesof the face

Automaticallygenerated facesamples

The 10 face samples are gathered by the FaceID automatically, what the user needto do is to look into the Webcam and perhaps, in case of nothing to happen, moveyour head side to side, up and down gently such that the webcam can find yourface.

Observe that the last three samples of face is bad because only very limit portions

of the face are captured, we need to delete them from the captured image base.The thumbnail images listing to the right side can be easily edited by using yourmouse clicks. You can select any a small image by left-click it, when an image isselected, it will be highlighted by using a color frame. In the following case, the firstimage was left-clicked.




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If you want to see the details of a thumbnail image, you can left-double-click it andmake it enlarged. In the following case, the last image was left-double-clicked:

Observe that in this case the last image is enlarged into 1/ 4 of the entire image.Since in this image only mouse was captured, we need to delete from the database.You can right-double-click an image to delete it from the image list. As soon as animage is deleted, FaceID will capture a new face to take it place. Let use right-double click the last image and we get:




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Observe that the last image was replaced by a newly sampled face image. Then letuse perform this process to the 2nd and the 3rd images from the bottom and replacethem with good face images by right-double-click them, the final result is:

Then we have 10 face image samples for the new user test123, what will do next is

to finish the enrolling process by clicking Finish Enroll toolbar and we need to wait2 to 10 minutes(depend on how powerful you PC is) and watch the CPUcomputing at full load and finally you get this interface:




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This interface tells you that the new user had been enrolled and FaceID need toexit. Click OK and exit FaceID.

When the next time you start FaceID, the enrolled new user test123 can be loginby the webcam. Let use restart FaceID and note that the FaceID hesitated for a

while because it needed a short while to standardize the settings for the new usertest12 that was just enrolled before the latest exit of FaceID. Then we have thefollowing interface:

To FaceID login user test123, we first clickLogin and we get




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A green frame with a name tag test123[0.xxx] means that the user test123 can belogin at that moment. Note that the value [0.xxx] can be changed as time goes by,this value has a physical linguistic meaning, it is for debug purpose and will notshown to users in the final release. Of course, we can try some trick by take off thewhite cap

we still get a robust result. Comparing to some other products, with and without acap will refuse a user from login. Let us try one more thing




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Even taking off glasses could not cause any trouble. For many other systems, thiswill result in a absolute REFUSE.

We just show the robustness of FaceID to different settings of the user face, thefollowing experiments to show the low false alarm rate of FaceID. The robustnessto the surrounding change of face and low false alarm rate are two factors that need

to tradeoff, FaceID does an excellent tradeoff between them. We put FaceID toshoot the first unknown user, a red cross means a deny of login.




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The following mark means a suspicious detection that might need furtherverification. This is most likely caused by a face that is similar to some authorizedface and yet had significant difference due to lightening condition change orbecause the user is unauthorized.




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In this case, by dynamically and continuously observing the users face, FaceID canfinally recognize an authorized face as shown in the follow.




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Comparing w ith VeriLook 2.0

In this section the performances of FaceID 1.0.0.2 is compared with those ofVeriLook 2.0.

1. FaceID can locate a face rapidly and reliably than VeriLook 2.0. As shown inthe following screen shot of VeriLook 2.0, it failed to locate the face. Sincelocating a face is the first step of any face login system, in this case, VeriLookfailed to work.

Meanwhile, the same face could be easily located and an action refuse was issuedby FaceID as shown in the following screenshot.(Note that FaceID takes the

natural view of a scene while VeriLook reflect the natural view horizontally):




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2. VeriLook is not robust to the scale change of the login face. As shown in thefollowing screen shot, a user enrolled into VeriLook at the following pose.




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When the user login in the same pose, VeriLook successfully allowed this login asshown in the following screenshot:

When the user moved a little bit towards the Webcam, VeriLook failed to identifythe user as shown in the following screenshot:




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Comparing with VeriLook, FaceID had much more robust performance as shownin the following screenshots. The following screenshot shows the pose when theuser was enrolled.




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The following screenshots show different login poses for different kinds ofsituations. Observe that FaceID can work robustly even the sizes of the user facechanged dramatically.

The case of medium face.

The case of big face.




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The case of small face.

Known Issues, Limitations and Advantages

The FaceID software has the possibility to occasionally issue wrong login signalswhen the webcam or the person is in rapid moving and the captured imagebecome blurred. In the future version this can be solved by using a simple motiondetecting algorithm.

If the illuminating conditions were changed dramatically to cause deny of login, the

user can enroll a new set of login face image. In the future version this function willbe implemented more user friendly. In this version, the user can solve this problemby enroll under a second user name.

Simpler interface and fewer user interferences give FaceID the very edge to beatsimilar products. Since the designing platform of FaceID is based on physicallinguistics, the semantic model for FaceID is rooted in computational verb theoryand fuzzy theory, the modification for different application requirements is entirelymanageable and transparent to developers.




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The future version will be focused on the optimizations of FaceID for differentapplications.




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Troubleshooting

This chapter shows how to resolve some common issues that onemight come across when using FaceID software to construct a

home secure system.

To explore the full ability of the FaceID, the working conditions of theentire system including your PC, the webcam and FaceID should beconsidered comprehensively. The quality of captured image frame willhave critical influence to the final readings. The following are some tips for

operating FaceID.

Hold you webcam with a stable support.

When users enroll and login, make sure only one person in the camera view. Keep the same stable lightening condition for both enrollment and login will

be helpful. Otherwise, one user can enroll again once the lightening conditionchanged significantly to increase the false turn-down rate.

If for a long time that the camera doesnt find the face of the user, look intothe camera and turn side to side and up down head gently and smoothly.

In case that you have some problems, the followings should be useful tips.

Webcams Are Busy

After you start the FaceID, if you see the following Video Source dialogueinterface, it is most likely that your webcams are used by some other applicationssuch as Internet chat software or video conference software, etc. To solve this

problem, you need to either choose an available webcam from the list, or

release the webcam from other software.


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No Webcam Can Be UsedThe following dialogue interface tells that FaceID failed to initialize a webcam. Tosolve this problem, be sure to

Check whether any webcam connected to USB ports of your computer. Check whether webcams are used by other software. Check whether webcams function well or not.

After click OK, you will get the following empty interface and the FaceID will donothing.




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FQAs

This chapter includes the FQA s concerning all issues of

FaceID.

To run FaceID you dont need to be an expert of either image processing orwebcam, it is as simple as using your webcam for teleconference. However,since a computer with a webcam is not as that simple as we first thought inmany occasions, some tips are listed in this chapter you ease your

experience with FaceID.

Where Can I Get the Demo of FaceID?

You can download FaceID from

http:/ / www.yangsky.us/ demos/ FaceID/ FaceID.htm

Or from the links in

http:/ / www.yangsky.us/ demos/ demos.htm

As shown below, a quick link called Home Monitoring System is available athttp:/ / www.yangsky.us/ at the left navigation bar.
http://www.yangsky.us/demos/homeseer/homeseer.htmhttp://www.yangsky.us/demos/demos.htmhttp://www.yangsky.us/http://www.yangsky.us/http://www.yangsky.us/demos/demos.htmhttp://www.yangsky.us/demos/homeseer/homeseer.htm


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How to Know the Price of FaceID?

FaceID software family has the following two kinds of products:

End users package. It is for end users and is licensed to the ender user justlike many other software do, namely; a license fee will be charged for eachinstallation.

Developers package. It is for program developers such as a softwarecompany or an equipment manufacture. It provides program modules for thedevelopers to program their own products.

Please send your request of price to [email protected]

What is t he Difference Between the Demo and

the Commercial Versions of FaceID?

The demo version of FaceID is only to demonstrate the design principles andshow the users the potentials of FaceID. However, it doesnt have any data ports

available to the end user. The commercial version of FaceID provides rich dataports to interface with different applications for the end-users.

Where Can I Get the Supports for FaceID?

See Chapter 5.


mailto:[email protected]:[email protected]


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I Want to Develop a Software for my

Applications, What Should I Do?

You need the developers package for FaceID. The developers FaceID packagecan help you to prototype your next vision home security monitoring systemquickly and can also provide a specified solution for your current project. Thedevelopers FaceID package was written in C-language.

Current ly FaceID only supports USB webcams,

are you going to support firewire video cameras

or TCP/IP cameras?

FaceID will be developed for both personal and industrial markets. For personal

market, FaceID will mainly support USB webcams. For the industrial marketsfirewire video cameras and TCP/ IP cameras will be supported though currentlyonly USB cameras are supported.




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Chapter

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Support and Ordering

Information

This chapter includes the supporting and ordering informationfor FaceID.

To order FaceID or to gain support for FaceID is simply a few clicks away.

How to Order

Send your check or money order to

Sales Department, Yangs Scientific Research Institute, 1303 East University Blvd.# 20882, Arizona 85719-0521, USA.

Please make your check or money order payable to Yangs Scientific ResearchInstitute.

For prices of FaceID and related products, please send an email [email protected].

Support Information

For ender users, please refer to FQA sections of this User Guide for the mostcommon problems. If you can not find the solution from FQA sections, pleasesend an email to [email protected] or send a ticket viahttp:/ / www.yangsky.us/ support/.

Demos

The demos of FaceID can be found at the following link:
mailto:[email protected]:[email protected]://www.yangsky.us/support/http://www.yangsky.us/support/mailto:[email protected]:[email protected]


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http:/ / www.yangsky.us/ products/ faceid/ faceid.htm

Or click

http:/ / www.yangsky.us/ demos/ demos.htm

http://www.yangsky.us/products/faceid/faceid.htmhttp://www.yangsky.us/demos/demos.htmhttp://www.yangsky.us/demos/demos.htmhttp://www.yangsky.us/products/faceid/faceid.htm


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Index

A

BBarcode

Clear, 13

Blur , 14

Dim, 15

Distor t ion, 14, 16

Shaking, 15

CC-languag e, 21

COM, 22

Commerc ia l vers ion,

20

DDemo vers ion, 20

Developer, 20

Download, 19

EEAN-13, 21

Ender user, 20

F

G

H

IInsta l l , 1

Insta l ler , 2

ISBN, 21

ISMN, 21

ISSN, 21

JJAN-13, 21

K

L

M

NOOPC, 22

PPassword, 4

Physical l inguis t ic

v is ion

techno logy ,

i

QR

SSetup, 1

Support, 20,24

TTao Yang, i

Troubleshoot ing, 17

UUSB port , 13Connected, 18

UPC-A, 2 1

V

WWebcam, 12

Busy, 17

Choose, 2

Funct ion w el l , 18

X

Z



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51Copyr ight2005 Yangs Scient i f ic Research Inst i tut e, LLC. ALL RIGHTS RESERVED.

D:\Demo\FaceID\run\Face IDManual .dot Last prin ted 11/5/2005 11:52 AM Versi on 1.0.0.3(draft )


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Revision history:

Nov 05, 2005, version 1.0.0.3 released. Release mapfile generated with line numbers. Oct.30, 2005, version 1.0.0.2 released. More robust to inter-person false login.

Oct. 27, 2005, version 1.0.0.1 released.

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