Details
| Original language | English |
|---|---|
| Pages (from-to) | 211-216 |
| Number of pages | 6 |
| Journal | Computers and Graphics (Pergamon) |
| Volume | 33 |
| Issue number | 3 |
| Publication status | Published - 26 Dec 2009 |
Abstract
The paper presents a method to estimate the detailed 3D body shape of a person even if heavy or loose clothing is worn. The approach is based on a space of human shapes, learned from a large database of registered body scans. Together with this database we use as input a 3D scan or model of the person wearing clothes and apply a fitting method, based on ICP (iterated closest point) registration and Laplacian mesh deformation. The statistical model of human body shapes enforces that the model stays within the space of human shapes. The method therefore allows us to compute the most likely shape and pose of the subject, even if it is heavily occluded or body parts are not visible. Several experiments demonstrate the applicability and accuracy of our approach to recover occluded or missing body parts from 3D laser scans.
Keywords
- Human modelling, Shape estimation, Statistical modelling, Surface fitting
ASJC Scopus subject areas
- Engineering(all)
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
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In: Computers and Graphics (Pergamon), Vol. 33, No. 3, 26.12.2009, p. 211-216.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Estimating body shape of dressed humans
AU - Hasler, Nils
AU - Stoll, Carsten
AU - Rosenhahn, Bodo
AU - Thormählen, Thorsten
AU - Seidel, Hans Peter
PY - 2009/12/26
Y1 - 2009/12/26
N2 - The paper presents a method to estimate the detailed 3D body shape of a person even if heavy or loose clothing is worn. The approach is based on a space of human shapes, learned from a large database of registered body scans. Together with this database we use as input a 3D scan or model of the person wearing clothes and apply a fitting method, based on ICP (iterated closest point) registration and Laplacian mesh deformation. The statistical model of human body shapes enforces that the model stays within the space of human shapes. The method therefore allows us to compute the most likely shape and pose of the subject, even if it is heavily occluded or body parts are not visible. Several experiments demonstrate the applicability and accuracy of our approach to recover occluded or missing body parts from 3D laser scans.
AB - The paper presents a method to estimate the detailed 3D body shape of a person even if heavy or loose clothing is worn. The approach is based on a space of human shapes, learned from a large database of registered body scans. Together with this database we use as input a 3D scan or model of the person wearing clothes and apply a fitting method, based on ICP (iterated closest point) registration and Laplacian mesh deformation. The statistical model of human body shapes enforces that the model stays within the space of human shapes. The method therefore allows us to compute the most likely shape and pose of the subject, even if it is heavily occluded or body parts are not visible. Several experiments demonstrate the applicability and accuracy of our approach to recover occluded or missing body parts from 3D laser scans.
KW - Human modelling
KW - Shape estimation
KW - Statistical modelling
KW - Surface fitting
UR - http://www.scopus.com/inward/record.url?scp=67349259570&partnerID=8YFLogxK
U2 - 10.1016/j.cag.2009.03.026
DO - 10.1016/j.cag.2009.03.026
M3 - Article
AN - SCOPUS:67349259570
VL - 33
SP - 211
EP - 216
JO - Computers and Graphics (Pergamon)
JF - Computers and Graphics (Pergamon)
SN - 0097-8493
IS - 3
ER -