The understanding of body measurements and body shapes in and between populations is
important and has many applications in medicine, surveying, the fashion industry, fitness …

Statistical models of 3D human shape and pose learned from scan databases have
developed into valuable tools to solve a variety of vision and graphics problems …

In this work, we present a novel method for capturing human body shape from a single
scaled silhouette. We combine deep correlated features capturing different 2D views, and …

We represent human body shape estimation from binary silhouettes or shaded images as a
regression problem, and describe a novel method to tackle it using CNNs. Utilizing a …

Creating metrically accurate avatars is important for many applications such as virtual
clothing try-on, ergonomics, medicine, immersive social media, telepresence, and gaming …

With systems for acquiring 3D surface data being evermore commonplace, it has become
important to reliably extract specific shapes from the acquired data. In the presence of noise …

We propose a novel computer vision system for reconstructing 3D body shapes from 2D
images with the goal of producing highly accurate anthropomorphic measurements from a …

This work introduces a novel method for the creation of an in-home virtual dressing room for
garment fitting using an integrated system consisting of personalized 3D body model …

We propose a linear regression model for the estimation of human body measurements. The
input to the model only consists of the information that a person can self-estimate, such as …

In this work, we revise the problem of human body shape estimation from monocular
imagery. Starting from a statistical human shape model that describes a body shape with …