Training and implementing a four-dimensional data object recommendation model

Abstract

The present disclosure relates to a four-dimensional (4D) recommendation system for training and implementing a 4D recommendation model to provide health-related recommendation for an individual that is a subject of a volumetric capture performed by a calibrated multi-camera system. In particular, the 4D recommendation system may capture 4D data objects including time-series three-dimensional models and associated annotations and generate a knowledge base including a collection of 4D data objects stored thereon. An input 4D data object may be obtained and compared to the collection of 4D data objects to determine one or more recommendations for the input 4D data object related to the health status of the individual.