This document defines the management and operations of the ISO geodetic register and identifies the data elements, in accordance with ISO 19111:2007 and the core schema within ISO 19135‑1:2015, required within the geodetic register.
ISO 19104:2016 specifies requirements for the collection, management and publication of terminology in the field of geographic information. The scope of this document includes: - selection of concepts, harmonization of concepts and development of concept systems, - structure and content of terminological entries, - term selection, - definition preparation, - cultural and linguistic adaptation, - layout and formatting requirements in rendered documents, and - establishment and management of terminology registers.ISO 19104:2016 is applicable to International Standards and Technical Specifications in the field of geographic information.
This document specifies extensions to existing scene description formats in order to support MPEG media, in particular immersive media. MPEG media includes but is not limited to media encoded with MPEG codecs, media stored in MPEG containers, MPEG media and application formats as well as media provided through MPEG delivery mechanisms. Extensions include scene description format syntax and semantics and the processing model when using these extensions by a Presentation Engine. It also defines a Media Access Function (MAF) API for communication between the Presentation Engine and the Media Access Function for these extensions. While the extensions defined in this document can be applicable to other scene description formats, they are provided for ISO/IEC 12113.
This document specifies a systematic system for representing humanoids in a network-enabled 3D graphics and multimedia environment. Conceptually, each humanoid is an articulated character that can be embedded in different representation systems and animated using the facilities provided by the representation system. This document specifies the abstract form and structure of humanoids. Further, this document specifies the semantics of humanoid animation as an abstract functional behaviour of time-based, interactive 3D, multimedia articulated characters. This document does not define physical shapes for such characters but does specify how such characters can be structured for animation. This document is intended for a wide variety of presentation systems and applications, providing wide latitude in interpretation and implementation of the functionality.
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; andc) 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.
This standard specifies terms, methods, and considerations related to the processing of scan data using software after acquiring human body scan data using a 3-D human body scanner. NOTE Knowledge and experience in the processing and analysis of 3-D point-cloud and mesh are required to improve the quality of human body scan data while maintaining its morphological characteristics for its application to the design of a particular product, workplace, and/or system. Custom software can be developed to support the processing of human body scan data by incorporating terms, methods, and considerations in this standard in a selective manner.
This document is the first of a family of standards. This document focuses on the method of quantifying the differences in body dimensions and visualizing shape differences between the human body and a virtual human body model. This document provides a performance evaluation protocol for virtual human body representation systems, which create virtual human body (including virtual fit mannequin) models based on 3D body scan data and/or body dimensions data of a human body. The required accuracy of a virtual human body depends on the purpose and use of the digital fitting system.
ISO 18825-2:2016 defines the terms used to describe the virtual human body which is used in virtual garment systems. Specifically, virtual body landmarks and virtual body dimensions are described. It mainly deals with vocabulary and terminology of essential virtual body dimensions of the virtual torso, arm, leg, head, face, hands and bones and joints of virtual human body. Since there are many body landmarks on the head and hand, landmarks on these parts are defined separately from those on other parts of the body. It is intended for developers of virtual garment systems. Although ISO 18825-2:2016 does not aim at users of virtual human body in online communication, the improved reliability of virtual human body will benefit them.
This document is the first of a family of standards. ISO 18825-1:2016 covers vocabulary and terminology used for the virtual human body in the virtual garment system used as a main tool in various fields of clothing application. It is applicable to all stages of online clothing communication and business, including design, manufacture, order, sales, distribution and customer management.
ISO 18133:2016 defines the terms that are commonly used for the digital fitting system. The digital fitting system includes virtual fabric, virtual fabric properties, virtual garment pattern, virtual garment pattern properties, virtual sewing line, virtual garment, and virtual garment simulation of a virtual garment on a virtual human body model for fit assessment.
This standard addresses the anthropometric and topo-physiological attributes that contribute to the quality of experience of 3D body processing, as well as identifying and analyzing metrics and other useful information, as well as data relating to these attributes. The standard defines a harmonized framework, suite of objective and subjective methods, tools, and workflows for assessing 3D body processing quality of experience attributes. The standard specifies and defines methods, metrics, and mechanisms to facilitate interoperability, communication, security and trusted operation of 3D body processing technologies. This includes quality of output of devices (such as sensors and/or scanners), digitization, simulation and modeling, analytics and animation, data transmission and visualization in the 3D body processing ecosystem, the ecosystem being in the near environment that interacts with the body.
This document describes guidelines for developing education and training systems using VR/AR/MR technology. It defines VR/AR/MR based information modelling that can be used for education and training systems. It provides procedures and methods to be used when developing 3D VR/AR/MR based education and training systems using ISO/IEC JTC 1 standards. It also provides a systematic approach to developing VR/AR/MR based applications for systems integration areas. This work will:- define concepts of VR/AR/MR based education and training.- define an information modelling architecture for VR/AR/MR based education and training systems.- specify standards based functional components for VR/AR/MR based education and training systems.- specify framework components for implementing VR/AR/MR based education and training systems.- include use cases for VR/AR/MR based education and training systems based on the information modelling architecture.Device hardware technology for VR/AR/MR based education and training systems is excluded from this draft.