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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.
