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 specifies the method of motion capture animation using H-Anim humanoid models. Each humanoid model consists of an articulated character with specified joints and motion capture data. As specified in ISO/IEC 19774-1, each character consists of joints and segments in a hierarchical structure. This document includes the following:

(1) Concepts of motion capture as related to humanoid animation,

(2) Concepts of motion capture data definition,

(3) Definition of motion parameters and motion-capture animation data for transferring or exchanging motion between different humanoid character models,

(4) Mapping the structure of motion capture data to the structure of H-Anim objects,

(5) HAnim motion capture animation using interpolators,

(6) HAnim motion definition using H-Anim Motion objects, and

(7) A method for generating and specifying an H-Anim motion capture animation.

This document specifies a standard technique for exchanging humanoid animation using motion capture. It does not mandate using any specific run-time system to render the H-Anim characters or animations.

This standard defines a framework for mixed reality content aimed at effective motion learning, including terms and definitions, requirements and data formats. Mechanisms to synchronize the motion sensor and projector coordinate system are defined. Motion acquisition methods, application programming interfaces and user interfaces are described.

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; 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.

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.