Literature Survey on 3D Reconstruction of a Single Human’s Pose and Shape
Published:
Abstract
Human digitization is an active and growing research topic with its sub-branches that have unique sets of problems and use-cases of application. Approaches including, but not limited to parametric-model based, model-free based, real- time, offline, single and multi-camera are all unique directions at which research is being conducted. This paper aims to outline the field as a whole and provide an overview of the current state-of- the-art as well as give an insight into older technology that has set the path for the field. Modern approaches leverage deep learning to estimate human models with a fine level of detail for clothing, facial features and can prove to be scene-aware by modelling also objects that are a focus of the human subject’s interaction. The survey concludes that the technological holy-grail has still not been achieved and with the increased use and accessibility of Virtual/Augmented Reality, human digitization will become more and more relevant in use cases such as broadcasting, teleconferencing, avatar generation and others.