Citiverse

Avatar Representation and Animation (ARA) is a Technical Specification being developed to provide data format specifications enabling a party to represent and animate an avatar transmitted by another independent party. The goal is represented by the following use case: Avatar-Based Videoconference: avatars representing humans with a high degree of accuracy participate in a videoconference. A virtual secretary (VS) represented as an avatar displaying PS creates an online summary of the meeting with a quality enhanced by the VS’s ability to understand the PS of the avatar it converses with.

Technical Report - MPAI Metaverse Model - Functionality Profiles is the second of a planned series of technical metaverse interoperability technical documents.

This document is the first of a planned series of technical documents designed to facilitate interoperability between Metaverse Instances.

This document is a Call for Technologies (CfT) for the MPAI Metaverse Model (MPAI-MMM) - Architecture Technical Specification. MPAI has already published two documents belonging to the MPAI-MMM project: MPAI Metaverse Model - Functionalities [3] and MPAI Metaverse Model - Functionality Profiles [4]. They were developed as a basis for the planned Technical Specification: MPAI-MMM Architecture. Three documents are attached to this Call for Technologies:

- Use Cases and Functional Requirements: MPAI Metaverse Model - Architecture.

- Framework Licence: MPAI Metaverse Model - Architecture.

- Template of Responses: MPAI Metaverse Model - Architecture.

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.

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.

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 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 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. 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.

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 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.