Standard

This document specifies conceptual schemas for describing the spatial characteristics of geographic entities, and a set of spatial operations consistent with these schemas. It treats _vector_ geometry and topology. It defines standard spatial operations for use in access, query, management, processing and data exchange of geographic information for spatial (geometric and topological) objects. Because of the nature of geographic information, these geometric coordinate spaces will normally have up to three spatial dimensions, one temporal dimension and any number of other spatially dependent parameters as needed by the applications. In general, the topological dimension of the spatial projections of the geometric objects will be at most three.

The present document defines the supported media formats, codecs, processing functions and guaranteed minimum performances per AR device category. The present document addresses the interoperability gaps identified in the conclusions of TS 26.998.

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; 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 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 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 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 geometry-based point cloud compression.

Coded representation of video-based dynamic mesh coding (V-DMC)

Coded representation of Low latency, low complexity LiDAR coding

Coded representation of Haptics coding

Coded representation of MPEG immersive video