• DocumentCode
    3278529
  • Title

    A hardware architecture for real-time stereoscopic image generation from depth map

  • Author

    Cheng, Fang-hsuan ; Chang, Yu-wei ; Huang, Yea-Shuan

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Chun Hua Univ., Hsinchu, Taiwan
  • Volume
    4
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    1622
  • Lastpage
    1627
  • Abstract
    When you look at the object, the displacement of object is different in left and right eye. This displacement is called parallax. The farther the object is, the smaller the parallax become. Due to the parallax, people will have the feeling of stereoscopic vision. We develop a depth-image-based rendering (DIBR) algorithm to shift (or move) the position of the object in the image to generate the stereoscopic image with parallax according to its depth information. When the object is shifted (or moved) away from its original position, a hole will occur in the original position. Therefore we develop an image inpainting algorithm to fill the hole. In this paper, a hardware architecture is designed for real-time stereoscopic image generation from a 2D image and its depth map. In order to achieve the real-time application, we design a hardware architecture to accomplish the DIBR and image inpainting algorithm. There are totally 2,849 logic registers in this design. By simulation in the experiment, we can achieve the real-time computing in 150MHz clock (320 × 240 @30 fps).
  • Keywords
    rendering (computer graphics); stereo image processing; 2D image; depth map; depth-image-based rendering algorithm; hardware architecture; image inpainting algorithm; parallax; real-time computing; real-time stereoscopic image generation; Cameras; Computer architecture; Hardware; Image edge detection; Real time systems; Stereo image processing; Three dimensional displays; Binocular vision; Depth-image-based rendering; Hole filling; Image inpainting; Stereoscopic Image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016995
  • Filename
    6016995