TY - GEN
T1 - Non-rigid surface tracking for virtual fitting system
AU - Shimizu, Naoki
AU - Yoshida, Takumi
AU - Hayashi, Tomoki
AU - De Sorbier, Francois
AU - Saito, Hideo
PY - 2013/5/31
Y1 - 2013/5/31
N2 - 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 overlay a texture onto a texture of T-shirt in real-time without modifying the surface.
AB - 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 overlay a texture onto a texture of T-shirt in real-time without modifying the surface.
KW - Augmented reality
KW - Deformable 3D registration
KW - Local feature point
KW - Principal component analysis
KW - RGB-D camera
UR - http://www.scopus.com/inward/record.url?scp=84878244263&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878244263&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84878244263
SN - 9789898565471
T3 - VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
SP - 12
EP - 18
BT - VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
T2 - 8th International Conference on Computer Vision Theory and Applications, VISAPP 2013
Y2 - 21 February 2013 through 24 February 2013
ER -