Detailed, accurate, human shape estimation from clothed 3D scan sequences

03/13/2017
by   Chao Zhang, et al.
0

We address the problem of estimating human pose and body shape from 3D scans over time. Reliable estimation of 3D body shape is necessary for many applications including virtual try-on, health monitoring, and avatar creation for virtual reality. Scanning bodies in minimal clothing, however, presents a practical barrier to these applications. We address this problem by estimating body shape under clothing from a sequence of 3D scans. Previous methods that have exploited body models produce smooth shapes lacking personalized details. We contribute a new approach to recover a personalized shape of the person. The estimated shape deviates from a parametric model to fit the 3D scans. We demonstrate the method using high quality 4D data as well as sequences of visual hulls extracted from multi-view images. We also make available BUFF, a new 4D dataset that enables quantitative evaluation (http://buff.is.tue.mpg.de). Our method outperforms the state of the art in both pose estimation and shape estimation, qualitatively and quantitatively.

READ FULL TEXT

page 1

page 4

page 7

research
12/17/2013

Estimation of Human Body Shape and Posture Under Clothing

Estimating the body shape and posture of a dressed human subject in moti...
research
03/19/2015

Building Statistical Shape Spaces for 3D Human Modeling

Statistical models of 3D human shape and pose learned from scan database...
research
07/24/2017

Towards Accurate Markerless Human Shape and Pose Estimation over Time

Existing marker-less motion capture methods often assume known backgroun...
research
11/26/2018

Multilevel active registration for kinect human body scans: from low quality to high quality

Registration of 3D human body has been a challenging research topic for ...
research
09/02/2019

FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second

Current methods for body shape estimation either lack detail or require ...
research
04/15/2023

ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce

Accurately estimating human body shape from photos can enable innovative...
research
06/14/2023

TryOnDiffusion: A Tale of Two UNets

Given two images depicting a person and a garment worn by another person...

Please sign up or login with your details

Forgot password? Click here to reset