• DocumentCode
    3716831
  • Title

    Classification of the category of clothing item after bringing it into limited shapes

  • Author

    Jingyu Hu;Yasuyo Kita

  • Author_Institution
    University of Tsukuba
  • fYear
    2015
  • Firstpage
    588
  • Lastpage
    594
  • Abstract
    In this paper, we present a method to classify the category of clothing item. When visually recognizing clothing items based on their shapes, two types of shape variations make the recognition difficult: physical deformation and the variety of size and design. In order to lessen the effect of deformation, first, the item of interest is reshaped into one of a small number of limited shapes. To absorb the variety of size and design, we propose to represent each limited shape using a likelihood image, which is made by combining clothing contours of various design items in the limited shape. Experimental results using long-sleeve shirts and trousers showed a good prospect of the proposed method.
  • Keywords
    "Shape","Clothing","Grasping","Three-dimensional displays","Eigenvalues and eigenfunctions","Feature extraction","Robots"
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots (Humanoids), 2015 IEEE-RAS 15th International Conference on
  • Type

    conf

  • DOI
    10.1109/HUMANOIDS.2015.7363422
  • Filename
    7363422