While models of 3D clothing learned from real data exist, no method can predict clothing
deformation as a function of garment size. In this paper, we introduce SizerNet to predict 3D …

Human Attribute Recognition (HAR) is a highly active research field in computer vision and
pattern recognition domains with various applications such as surveillance or fashion …

An efficient surface reconstruction strategy is presented in this study, which is able to
approximate non‐convex sets of target points (TPs). The approach is split in two phases:(a) …

3D human reconstruction from a single image is a challenging problem. Existing methods
have difficulties to infer 3D clothed human models with consistent topologies for various …

Disclosed is a method and system for aligning separately created 3-D mesh of a body and
head of a user for resolved 3-D avatar construction, comprising the steps of: estimating …

Recently, rapid and accurate 3D models creation is required in various applications using
virtual reality and augmented reality technology. In this paper, we propose an on-site …

In today's interactive world 3D body scanning is necessary in the field of making virtual
avatar, apparel industry, physical health assessment and so on. 3D scanners that are used …

In this paper the existing approaches for determining the size of the human body from
images were considered and analyzed. An own method for determining the size of a human …