• 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