• DocumentCode
    1692282
  • Title

    VR object composition method using stereo vision

  • Author

    Sugita, Kaoru

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Fukuoka Inst. of Technol., Japan
  • Volume
    2
  • fYear
    2006
  • Abstract
    In this paper, we propose a VR object composition method using stereo vision. In this method, a VR object is composed of 3D model and desired texture image. This method is organized by a 3D model reconstruction and texture segmentation. Firstly, stereo images and texture image are captured from a real object. Secondly, a 3D model is reconstructed by stereo images. Thirdly, segmentation is applied to a texture image based on color cluster. Finally, 3D model is displayed with segmented texture images. The 3D model can exchange a piece of texture image for a desired image. Using this method, the user can simulate replacing the appearance of real object such as renovation of his/her room and wearing clothes.
  • Keywords
    computer vision; image colour analysis; image reconstruction; image segmentation; image texture; object detection; stereo image processing; 3D model reconstruction; VR object composition method; color cluster; image reconstruction; image segmentation; stereo image; stereo vision; texture image; Design methodology; Image edge detection; Image generation; Image reconstruction; Image segmentation; Motion pictures; Process design; Stereo image processing; Stereo vision; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications, 2006. AINA 2006. 20th International Conference on
  • ISSN
    1550-445X
  • Print_ISBN
    0-7695-2466-4
  • Type

    conf

  • DOI
    10.1109/AINA.2006.348
  • Filename
    1620459