DocumentCode :
3673964
Title :
A new retexturing method for virtual fitting room using Kinect 2 camera
Author :
Andres Traumann;Gholamreza Anbarjafari;Sergio Escalera
Author_Institution :
iCV Group, IMS Lab, Institute of Technology, University of Tartu, 50411, Estonia
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
75
Lastpage :
79
Abstract :
This research work proposes a new method for garment retexturing using a single static image along with depth information obtained using the Microsoft Kinect 2 camera. First the garment is segmented out from the image and texture domain coordinates are computed for each pixel of the shirt using 3D information. After that shading is applied on the new colours from the texture image by applying linear stretching of the luminance of the segmented garment. The proposed method is colour and pattern invariant and results in to visually realistic retexturing. The proposed method has been tested on various images and it is shown that it generally performs better and produces more realistic results compared to the state-of-the-art methods. The proposed method can be an application for the virtual fitting room.
Keywords :
"Image color analysis","Clothing","Image segmentation","Yttrium","Cameras","Lighting","Visualization"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on
Electronic_ISBN :
2160-7516
Type :
conf
DOI :
10.1109/CVPRW.2015.7301339
Filename :
7301339
Link To Document :
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