Authors:
Naoki Shimizu
;
Takumi Yoshida
;
Tomoki Hayashi
;
Francois de Sorbier
and
Hideo Saito
Affiliation:
Keio University, Japan
Keyword(s):
Deformable 3D Registration, Principal Component Analysis, RGB-D Camera, Augmented Reality, Local Feature Point.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Enterprise Information Systems
;
Geometry and Modeling
;
Human and Computer Interaction
;
Human-Computer Interaction
;
Image-Based Modeling
;
Pattern Recognition
;
Software Engineering
Abstract:
In this paper, we describe a method for overlaying a texture onto a T-shirt, for improving current virtual fitting
system. In such systems, users can try on clothes virtually. In order to realize such a system, a depth camera
has been used. These depth cameras can capture 3D data in real time and have been used by some industrial
virtual cloth fitting systems. However, these systems roughly, or just do not, consider the shape of the clothes
that user is wearing. So the appearance of these virtual fitting systems looks unnaturally. For a better fitting,
we need to estimate 3D shape of cloth surface, and overlay a texture of the cloth that the user wants to see
onto the surface. There are some methods that register a 3D deformable mesh onto captured depth data of a
target surface. Although those registration methods are very accurate, most of them require large amount of
processing time or either manually-set markers or special rectangles. The main contribution of our method is
to over
lay a texture onto a texture of T-shirt in real-time without modifying the surface.
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