• DocumentCode
    514598
  • Title

    A Single Texture Object 3-D Depth Recovery

  • Author

    Zhang, Lijing ; Li, Xufeng

  • Author_Institution
    Inf. & Network Manage. Center, North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    684
  • Lastpage
    687
  • Abstract
    In this paper, we propose a method that combines the monocular vision with the binocular vision to process a single texture image that the feature points difficult to extract and restore the depth information of the inclined plane objects. Through integration of the two approaches, we combine the advantages of monocular vision in terms of the recovery of the basic structure of objects in the image with the advantages of binocular vision in terms of the accurate depth estimation after correctly determining the corresponding feature points, obtain high precision and accuracy depth estimates. Experiments show that application of this integration can obtain high-accuracy depth map. Moreover, a high quality 3-D reconstruction is also obtained from the accuracy depth map.
  • Keywords
    feature extraction; image reconstruction; image texture; 3D depth recovery; 3D reconstruction; accurate depth estimation; binocular vision; feature extraction; inclined plane objects; monocular vision; single texture object image; Application software; Calibration; Cameras; Computer science; Computer vision; Feature extraction; Humans; Layout; Stereo vision; Three dimensional displays; binocular vision; computer vision; depth estimates; monocular vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6388-6
  • Electronic_ISBN
    978-1-4244-6389-3
  • Type

    conf

  • DOI
    10.1109/ETCS.2010.467
  • Filename
    5458578