Tips for a correct functioning of Face Recognition technology. FacePhi Face Recognition.

Similar documents
Facial Biometric For Performance. Best Practice Guide

Photo Validation Instructions

IMAGE ENHANCEMENT. Quality portraits for identification documents.

Face Detection DVR includes one or more channel with face detection algorithm. It

Title Goes Here Algorithms for Biometric Authentication

Techniques for Suppressing Adverse Lighting to Improve Vision System Success. Nelson Bridwell Senior Vision Engineer Machine Vision Engineering LLC

IRIS Biometric for Person Identification. By Lakshmi Supriya.D M.Tech 04IT6002 Dept. of Information Technology

Passport photographs. Head Position & Background for Passport Photo

The Method of Verifying an Authenticity of Printing Production. Samples

Photo Examples. Head Position & Background.

BLIPS perfectly aligned cleaned by any impurity Gently press the lens

Portraits. How to take a flattering and interesting portrait

Understanding and Using Dynamic Range. Eagle River Camera Club October 2, 2014

GlassSpection User Guide

Using Optics to Optimize Your Machine Vision Application

ORIFICE MEASUREMENT VERISENS APPLICATION DESCRIPTION: REQUIREMENTS APPLICATION CONSIDERATIONS RESOLUTION/ MEASUREMENT ACCURACY. Vision Technologies

Requirement of photograph for other services.

Technical Guide Technical Guide

The spectral colours of nanometers

Table of Contents. 1. High-Resolution Images with the D800E Aperture and Complex Subjects Color Aliasing and Moiré...

COLOR CONTRAST AND LUMINESCENCE SENSORS

Cameras As Computing Systems

Redistributions of documents, or parts of documents, must retain the FISWG cover page containing the disclaimer.

Phenomena. How do we proceed? THEME 6 Natural ACTIVITY 47. Study how shadows are formed. What we have to do? What do we need?

Camera Setup and Field Recommendations

Photography Help Sheets

ARCHIVED. Disclaimer: Redistribution Policy:

Development of Hybrid Image Sensor for Pedestrian Detection

Requirement of Photograph for Indian Passport. The photograph should be in colour and of the size of 4 cm x 4 cm.

Photographic Standards in Plastic Surgery

How to combine images in Photoshop

Second Symposium & Workshop on ICAO-Standard MRTDs, Biometrics and Security

COURSE NAME: PHOTOGRAPHY AND AUDIO VISUAL PRODUCTION (VOCATIONAL) FOR UNDER GRADUATE (FIRST YEAR)

Machine Vision for the Life Sciences

Biometrics 2/23/17. the last category for authentication methods is. this is the realm of biometrics

ECEN 4606, UNDERGRADUATE OPTICS LAB

Standard Operating Procedure for Flat Port Camera Calibration

Use these words to complete the sentences about light: absorb different diffuse focus prism refraction same slower specula transmit

Polarizers, how they work, when to use them, how to use them...

ZKTECO COLLEGE- FUNDAMENTAL OF FINGER VEIN RECOGNITION

Aberrations and adaptive optics for biomedical microscopes

mm F2.6 6MP IR-Corrected. Sensor size

About user acceptance in hand, face and signature biometric systems

Ribcage Installation. Part 2 - Assembly. Back-Bone V1.06

Optical design of a high resolution vision lens

Machine Vision Basics

APPLICATIONS FOR TELECENTRIC LIGHTING

Considerations: Evaluating Three Identification Technologies

Color Mixer Kit. (Order Code CM-OEK)

CSI: Rombalds Moor Photogrammetry Photography

JAM 2015 Screenshots of filling Online Application Form

Converging Lenses. Parallel rays are brought to a focus by a converging lens (one that is thicker in the center than it is at the edge).

Biometrics - A Tool in Fraud Prevention

Biometric Data Interchange Formats Part 5: Face Image Data

Table of Contents. Staged. Ghosted. Detailed. Blacked. Blued

Little Fingers. Big Challenges.

Vision Sensors Inspector. The intelligent vision solution in an easy-to-use sensor package.

White Paper. Machine Vision & Raman Spectroscopy - Application Example. by Kenneth W. Chapman, Senior Vision Engineer, Centice Corporation

Quick Operation Guide

English PRO-642. Advanced Features: On-Screen Display

6.A44 Computational Photography

LlIGHT REVIEW PART 2 DOWNLOAD, PRINT and submit for 100 points

Quick Reference Guide

The new technology enables 8K high resolution and high picture quality imaging without motion distortion, even in extremely bright scenes.

Technical specifications

Telling What-Is-What in Video. Gerard Medioni

User manual Automatic Material Alignment Beta 2

Light and Optical Systems

PlaneWave CDK Telescope Instructions. Setting the spacing and collimation for the CDK14/17/20/24

ACTION AND PEOPLE PHOTOGRAPHY

Driver Licensing: Keeping up with Changing Demographics

Quick Tips for Taking Better Portraits

Advanced Camera and Image Sensor Technology. Steve Kinney Imaging Professional Camera Link Chairman

ContextCapture Quick guide for photo acquisition

Spatial Resolution as an Iris Quality Metric

The Law of Reflection

Multimodal Face Recognition using Hybrid Correlation Filters

MULTIPLE SENSORS LENSLETS FOR SECURE DOCUMENT SCANNERS

Redistributions of documents, or parts of documents, must retain the FISWG cover page containing the disclaimer.

The Human Brain and Senses: Memory

Introduction to Biometrics 1

7x P/N C1601. General Description

Hard Light. Light & Lighting Week 3 11/15/07. Michael W. Blevins Instructor Passing Image 1. The Nature of Light. Soft Light.

Corundum C Axis Device for Sample Preparation Timothy Thomas, M.E., M.S.E.E. GIA Laboratory June 4, 2009

Training Eye Instructions

THERMOGRAPHY. Courtesy of Optris. Fig1 : Thermographic image of steel slabs captured with PI1M

PANAFLASHER INSTRUCTIONS QUESTIONS? CALL: FOR-PANA ( ) Phil Navarro

One Week to Better Photography

An Introduction to Automatic Optical Inspection (AOI)

INTERNATIONAL RESEARCH JOURNAL IN ADVANCED ENGINEERING AND TECHNOLOGY (IRJAET)

LENS OB-SWIR500/7 P/N C0615

V I S O c o r e I n s p e c t

ROAD TO THE BEST ALPR IMAGES

White paper. More than face value. Facial Recognition in video surveillance

LENS ZOOM-SWIR 7x P/N C0628

Advanced Diploma in. Photoshop. Summary Notes

Laser Diode Mounting Kits

DSLR FOCUS MODES. Single/ One shot Area Continuous/ AI Servo Manual

F210 Vision Sensor Flow Menus and Macro Capability

Creating a Panorama Photograph Using Photoshop Elements

Transcription:

Tips for a correct functioning of Face Recognition technology FacePhi Face Recognition www.facephi.com This document is property of FacePhi Biometria S.A. All rights reserved. Total or partial copy of this document is forbidden. This document contains information for internal use; consider it as a working tool.

FacePhi 2017 FacePhi Biometria. All rights reserved. FacePhi and F7 Face Recognition Logos are trademarks of FacePhi Biometría S.A. (A-54659313) registered in Spain. Other products and companies here mentioned may be registered trademarks of their owners. FacePhi Biometría often publishes new software versions and upgrades; for this reason the images shown in this document may be different from the ones shown on the screen. w w w. F a c e P h i. c o m Page 1

INDEX 1. INTRODUCTION 3 2. USER S INTERACTION WITH USER CONTROLS 4 3. TIPS FOR THE END USER 7 3.1. Pose 7 3.2. Expression 7 3.3. Lighting 7 3.4. Glasses 8 3.5. Capture devices 8 3.6. Changes 8 3.6.1 Face 8 3.6.2. Capture device 9 3.6.3. Camera focal length 9 4. CONTACT INFORMATION 10 4.1. Commercial contact 10 4.2. Technical support 10 4.3. Feedback and suggestions 11 w w w. F a c e P h i. c o m Page 2

1. Introduction This report presents some advices for the proper functioning of FacePhi face recognition technology. Considering these advices, the user experience will be better and the rates of correct verification and identification obtained will improve substantially. w w w. F a c e P h i. c o m Page 3

2. User s interaction with user controls The user controls developed by FacePhi for web, mobile and desktop applications, facilitate the quick integration of the technology in any of these environments. They also permit the end user to extract the facial characteristics in an easy and friendly manner. Nevertheless, it is important that the end user takes into account the following advices when performing detection and facial extraction. You should try to avoid the following situations for the proper functioning of our face recognition technology when you use the user controls for registration, authentication and identification: a) Face very close to the edges of the image captured by the camera. b) Face very far from the camera. w w w. F a c e P h i. c o m Page 4

c) Face very close to the camera. d) Avoid rotating your face more than 15 degrees in each direction. e) Face not visible due to some elements such as hair, sun glasses, etc. w w w. F a c e P h i. c o m Page 5

f) Bad lighting conditions which do not permit the proper display of the image captured by the camera. g) Too many shadows caused by high intensity lights or very directional spotlights. The correct situation of detection and face recognition occurs when the face is centered on the image, the rotation is not too excessive and the lighting conditions are the right ones. w w w. F a c e P h i. c o m Page 6

3. Tips for the end user Facial recognition is very sensitive to the quality of the images. For this reason, we should pay special attention when we acquire them. 3.1. Pose Front position is the best face position (full-face). Head movements should not exceed 15 degrees on each direction. These movements are the following: Nodding up and down (Pitch) Turning right or left (Yaw) Tilting left or right (Roll) In order to carry out a complete user enrollment, you should make slightly movements up and down, right and left, without exceeding 15 degrees in all directions during extraction process. This way, facial patterns generated will contain information of different user poses. 3.2. Expression FacePhi face recognition technology is able to obtain, enrol and verify face patterns even when there are face slight movements and different face expressions. Nevertheless, if there are important changes on the face expression, the software may require a more natural position. 3.3. Lighting Lighting is a very important factor. The light should be as diffuse as possible in order to be equally distributed all over the face (a diffuse light is the opposite of a hard or directional light which causes shadows and highlights). Visible shadows should be avoided. Shadows might appear when a high intensity light is used or when there is backlighting on the scene. For this reason, we advise you to avoid such situations. w w w. F a c e P h i. c o m Page 7

3.4. Glasses Situations where the lighting may cause reflections on the crystals of the glasses should be avoided. If necessary, remove the glasses during the extraction process. Recommended glasses are those ones with clear and transparent crystals because, both eyes and iris are perfectly visible. Sunglasses are not accepted due to their dark lenses which cause eyes occlusion. 3.5. Capture devices Ideally, all images should be registered and identified using the same webcam. Different capture devices might have different optical distortions that might affect the functioning of the face recognition system. Camera minimum requirements: Resolution: 640 x 480 24 fps or higher Recommended requirements: Resolution: 640x480 30 fps or higher Autofocus Automatic Iris Wide Dynamic Range Technology (WDR) 3.6. Changes 3.6.1 Face Beard, moustache and some other facial characteristics may affect the reliability of the recognition process but, however, the system has a high level of tolerance against these changes. w w w. F a c e P h i. c o m Page 8

3.6.2. Capture device As mentioned before, the lens system is very important. When the capture device changes, generally, the lens system also changes and so do the perception (each lens system can deform the image in a different way). Besides, each device counts on a different sensor which encodes the information and it can also introduce differences. Sometimes, when the camera is changed, the system may require a new registration. 3.6.3. Camera focal length Distance from user to camera may be an element which influences facial recognition due to the deformity that some 2D images may display because of the lens system used. When a user stands at different distances to the camera and uses cameras with different focal lengths, these problems may appear. In order to improve face recognition reliability, we recommend you to use cameras with the same focal length and similar distances from user to camera, both at enrolment and authentication. w w w. F a c e P h i. c o m Page 9

4. Contact Information For general inquiries, please, contact us through the following: E-mail Website info@facephi.com www.facephi.com Headquarters México Avenue, 20 Alicante, Spain 03008 Telephone (+34) 965 10 80 08 4.1. Commercial contact For any commercial inquiry, please, contact us: E-mail sales@facephi.com Telephone (+34) 965 10 80 08 4.2. Technical support For any technical question, suggestion or report, please, contact us: E-mail support@facephi.com Telephone (+34) 965 10 80 08 w w w. F a c e P h i. c o m Page 10

4.3. Feedback and suggestions If you would like to make any suggestion or if you detect any type of error, please, contact us: E-mail feedback@facephi.com Telephone (+34) 965 10 80 08 w w w. F a c e P h i. c o m Page 11

w w w. F a c e P h i. c o m Page 12