A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Mesh editing with poisson-based gradient field manipulation
ACM SIGGRAPH 2004 Papers
SCAPE: shape completion and animation of people
ACM SIGGRAPH 2005 Papers
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ACM SIGGRAPH 2005 Papers
A system for articulated tracking incorporating a clothing model
Machine Vision and Applications
Surface Capture for Performance-Based Animation
IEEE Computer Graphics and Applications
Real-time enveloping with rotational regression
ACM SIGGRAPH 2007 papers
On Linear Variational Surface Deformation Methods
IEEE Transactions on Visualization and Computer Graphics
ACM Transactions on Graphics (TOG)
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
The Naked Truth: Estimating Body Shape Under Clothing
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Video-based reconstruction of animatable human characters
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Robust Pose Recognition of the Obscured Human Body
International Journal of Computer Vision
A 2D human body model dressed in eigen clothing
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
SMI 2012: Full Posture-invariant statistical shape analysis using Laplace operator
Computers and Graphics
Special Section on CAD/Graphics 2013: SCAPE-based human performance reconstruction
Computers and Graphics
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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.