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2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2015)
Boston, MA, USA
June 7, 2015 to June 12, 2015
ISSN: 2160-7516
ISBN: 978-1-4673-6758-5
pp: 75-79
Andres Traumann , iCV Group, IMS Lab, Institute of Technology, University of Tartu, 50411, Estonia
Gholamreza Anbarjafari , iCV Group, IMS Lab, Institute of Technology, University of Tartu, 50411, Estonia
Sergio Escalera , Computer Vision Center, Universitat de Barcelona, Spain
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.
INDEX TERMS
Image color analysis, Clothing, Image segmentation, Yttrium, Cameras, Lighting, Visualization,
CITATION
Andres Traumann, Gholamreza Anbarjafari, Sergio Escalera, "A new retexturing method for virtual fitting room using Kinect 2 camera", 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), vol. 00, no. , pp. 75-79, 2015, doi:10.1109/CVPRW.2015.7301339
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