Efficient Dense Disparity Map Reconstruction using Sparse Measurements

Conference object English OPEN
Zeglazi , Oussama; Rziza , Mohammed; Amine , Aouatif; Demonceaux , Cédric;
  • Publisher: HAL CCSD
  • Subject: Stereo Matching | Scanline Propagation | Vertical Median Filter | Superpixel | [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
    arxiv: Computer Science::Computer Vision and Pattern Recognition

International audience; In this paper, we propose a new stereo matching algorithm able to reconstruct efficiently a dense disparity maps from few sparse disparity measurements. The algorithm is initialized by sampling the reference image using the Simple Linear Iterativ... View more
Share - Bookmark

  • Download from
    HAL-Lyon 3 via HAL-Lyon 3 (Conference object, 2018)
  • Cite this publication