ASTM E3115-2017 Standard Guide for Capturing Facial Images for Use with Facial Recognition Systems《用于面部识别系统的捕获面部图像的标准指南》.pdf
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1、Designation: E3115 17Standard Guide forCapturing Facial Images for Use with Facial RecognitionSystems1This standard is issued under the fixed designation E3115; the number immediately following the designation indicates the year oforiginal adoption or, in the case of revision, the year of last revis
2、ion. A number in parentheses indicates the year of last reapproval. Asuperscript epsilon () indicates an editorial change since the last revision or reapproval.1. Scope1.1 This guide is intended for use by practitioners who arechoosing, setting up, and operating photographic equipmentdesigned to cap
3、ture facial images for use with an automatedFacial Recognition System or used for manual comparisons bya trained facial examiner. This guide provides an overview ofhow to achieve the specifications defined in Annex E ofANSI/NIST-ITL-1-2011, Update 2015, for capturing facialimages.1.2 Annex E of ANSI
4、/NIST-ITL-1-2011 defines a well-controlled capture environment and subject whereas this docu-ment will give guidance where tight controls in the captureenvironment and subject control cannot be achieved.1.3 This guide addresses equipment considerations for two-dimensional (2D) conventional images. I
5、t does not addressvideo, scanners, or three-dimensional (3D) capture.1.4 The values stated in SI units are to be regarded asstandard. The values given in parentheses are mathematicalconversions to non-SI units that are provided for informationonly and are not considered standard.1.5 This standard do
6、es not purport to address all of thesafety concerns, if any, associated with its use. It is theresponsibility of the user of this standard to establish appro-priate safety, health, and environmental practices and deter-mine the applicability of regulatory limitations prior to use.1.6 This internatio
7、nal standard was developed in accor-dance with internationally recognized principles on standard-ization established in the Decision on Principles for theDevelopment of International Standards, Guides and Recom-mendations issued by the World Trade Organization TechnicalBarriers to Trade (TBT) Commit
8、tee.2. Referenced Documents2.1 ASTM Standards:2E2916 Terminology for Digital and Multimedia EvidenceExamination2.2 Other Biometric Standards:ANSI/NIST-ITL-1-2011, Update 2015 Data Format for theInterchange of Fingerprint, Facial and Other BiometricInformation3NIST Special Publication 500-280v2 Mobil
9、e ID Device BestPractice Recommendation, Version 2.033. Terminology3.1 Definitions:3.1.1 For terms relating to digital and multimedia evidence,refer to Terminology E2916.3.2 Definitions of Terms Specific to This Standard:3.2.1 fish eye effect, na type of distortion, where centralobjects of the image
10、 erroneously appear closer than those at theedge typically resulting in what appear to be unusually largenoses in the image.3.3 Acronyms:3.3.1 2Dtwo-dimensional3.3.2 FRfacial recognition4. Significance and Use4.1 The key factors that determine image quality for highlycontrolled facial images (for ex
11、ample: passports, policemugshots, drive motor vehicle, etc.) are well understood withrespect to their use in automated FR systems and are a criticalfactor which directly affects the searching accuracy of the FRsystem.1This guide is under the jurisdiction of ASTM Committee E30 on ForensicSciences and
12、 is the direct responsibility of Subcommittee E30.12 on Digital andMultimedia Evidence.Current edition approved Dec. 1, 2017. Published January 2018. DOI: 10.1520/E3115-17.2For referenced ASTM standards, visit the ASTM website, www.astm.org, orcontact ASTM Customer Service at serviceastm.org. For An
13、nual Book of ASTMStandards volume information, refer to the standards Document Summary page onthe ASTM website.3Available from National Institute of Standards and Technology (NIST), 100Bureau Dr., Stop 1070, Gaithersburg, MD 20899-1070, http:/www.nist.gov.Copyright ASTM International, 100 Barr Harbo
14、r Drive, PO Box C700, West Conshohocken, PA 19428-2959. United StatesThis international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for theDevelopment of International Standards, Guides and Recommendatio
15、ns issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.14.2 Image quality also plays a major role in determining theextent to which a trained facial examiner is able to reach aconclusion as to whether two images containing faces arelikely to be of the same person or no
16、t. This applies to eitherreviewing a FR system candidate result set or 1:1 imagecomparisons.4.3 This guide provides guidance for the capture of facialimages under controlled, semi-controlled, and uncontrolledscenarios for constraints which can be categorized into thefollowing types of requirements:4
17、.3.1 Scene, refers to the content, subject and background inthe image,4.3.2 Photographic, refers to lighting, focus and otherconstraints required for image capture, and4.3.3 Digital, refers to the conversion of the captured imageinto a digital record.5. Scenarios5.1 Controlled Acquisition:5.1.1 This
18、 scenario is when all constraints can be controlledincluding equipment, the photographic environment (cameraposition, lighting, distance, background, and resolution), andthe pose and positioning of the subject. The subject can bedirected or positioned, the environment can be arranged toprovide ideal
19、 illumination, and suitable equipment is available.5.1.2 Referenced document ANSI/NIST-ITL-1-2011, Up-date 2015, Annex E, provides specifications on all aspects ofcontrolled acquisition scenarios.5.1.3 Annex A1 in this guide presents illustrative examplesfor controlled capture scenarios.5.1.4 Fig. 1
20、 provides an example of an optimal setting for acontrolled capture environment. The selection and placementof the lighting addresses the following variables:5.1.4.1 There is sufficient and uniform lighting to capture allvisible skin characteristics (that is, blemishes, moles, marks,etc.).5.1.4.2 To
21、avoid hot spots and shadows on the subjectsface.5.1.4.3 The 0.3 m to 0.6 m (1 ft to 2 ft) distance (with orwithout a backlight) between the background and the subject isintended to reduce background shadows.5.1.5 Fig. 2 provides examples of optimal facial imagescaptured. Frontal, right, left, and th
22、ree-quarter profile imagesshould be captured as these provide additional value forexaminers undertaking forensic comparison. The subjectshead is positioned in the image as shown.5.1.6 Automated image quality software is available fromvarious commercial suppliers that can help to determine if thefron
23、tal image is captured as per the recommendations.However, in all cases, a manual check is advised as thesoftware may not take into account all of the constraints.5.2 Semi-Controlled Acquisition:5.2.1 This scenario refers to when some, but not all,constraints can be controlled. Examples of this inclu
24、de pass-port photos not taken in a controlled environment, law enforce-ment mobile capture, crime scenes, access control, walk-through automated gates.5.2.2 In a semi-controlled environment, the following con-straints should be considered as a priority:5.2.2.1 Illumination,5.2.2.2 A single full fron
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