Search
×
FR

Placeholder headline

This is just a placeholder headline

API STD 521: Guide for Pressure-relieving and Depressuring Systems – Edition 6

$

682

BUY NOW

Placeholder headline

This is just a placeholder headline

API STD 653: Tank Inspection, Repair, Alteration, and Reconstruction – Edition 4

$

507

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z662:19 – Oil and gas pipeline systems

$

1197

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z341 Series-18: Storage of hydrocarbons in underground formations

$

878

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z246.2-14 – Emergency preparedness and response for petroleum and natural gas industry systems

$

596

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z341 Series:22 – Storage of hydrocarbons in underground formations

$

878

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z731-09 (R2014) – Emergency Preparedness and Response

$

177

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z662:23 – Oil and gas pipeline systems

$

1197

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z341 Series:26 – Storage of Hydrocarbons in underground formations

$

878

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA B51:24 Boiler, Pressure Vessel, and Pressure Piping Code

$

389

BUY NOW

ISO 39794:2021

ISO 39794:2021 Information technology – Extensible biometric data interchange formats – Part 16: Full body image data

CDN $422.00

SKU: ca146f6277c1 Categories: ,

Description

This document is intended to provide a generic extensible full body image data format for biometric recognition applications requiring exchange of human full body image data. Typical applications are:

a) automated body biometric verification and identification of an unknown individual or cadaver (one-to-one as well as one-to-many comparison);

b) support for human verification of identity by comparison of individuals against full body images; and

c) support for human examination of full body images with sufficient resolution to allow a human examiner to verify identity or identify a living individual or a cadaver.

This document ensures that full human body images and image sequence data generated by video surveillance and other similar systems are suitable for identification and verification.

The structure of the data format in this document is compatible with ISO/IEC 39794-5. In addition to the data format, this document specifies application-specific profiles including scene constraints, photographic properties and digital image attributes like image spatial sampling rate, image size, etc. These application profiles are contained in a series of annexes.

The 3D encoding types “3D point map” and “range image” are not supported by this document.

Edition

1

Published Date

2021-06-15

Status

PUBLISHED

Pages

139

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

This document is intended to provide a generic extensible full body image data format for biometric recognition applications requiring exchange of human full body image data. Typical applications are:

a) automated body biometric verification and identification of an unknown individual or cadaver (one-to-one as well as one-to-many comparison);

b) support for human verification of identity by comparison of individuals against full body images; and

c) support for human examination of full body images with sufficient resolution to allow a human examiner to verify identity or identify a living individual or a cadaver.

This document ensures that full human body images and image sequence data generated by video surveillance and other similar systems are suitable for identification and verification.

The structure of the data format in this document is compatible with ISO/IEC 39794-5. In addition to the data format, this document specifies application-specific profiles including scene constraints, photographic properties and digital image attributes like image spatial sampling rate, image size, etc. These application profiles are contained in a series of annexes.

The 3D encoding types "3D point map" and "range image" are not supported by this document.

Previous Editions

Can’t find what you are looking for?

Please contact us at: