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 …
Abstract Three-dimensional (3D) shape models are powerful because they enable the inference of object shape from incomplete, noisy, or ambiguous 2D or 3D data. For example …
E Dibra, H Jain, C Oztireli… - Proceedings of the …, 2017 - openaccess.thecvf.com
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 …
E Dibra, H Jain, C Öztireli, R Ziegler… - … conference on 3D …, 2016 - ieeexplore.ieee.org
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 …
We introduce an algorithm for 3D object modeling where the user draws creative inspiration from an object captured in a single photograph. Our method leverages the rich source of …
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 …
BM Smith, V Chari, A Agrawal… - … Conference on 3D …, 2019 - ieeexplore.ieee.org
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 …
C Li, F Cohen - Multimedia Tools and Applications, 2021 - Springer
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 …