Open Science Research Excellence
@article{(International Science Index):,
  title    = {Fast Depth Estimation with Filters},
  author    = {Yiming Nie and  Tao Wu and  Xiangjing An and  Hangen He},
  country   = {},
  abstract  = {Fast depth estimation from binocular vision is often
desired for autonomous vehicles, but, most algorithms could not easily
be put into practice because of the much time cost. We present an
image-processing technique that can fast estimate depth image from
binocular vision images. By finding out the lines which present the
best matched area in the disparity space image, the depth can be
estimated. When detecting these lines, an edge-emphasizing filter is
used. The final depth estimation will be presented after the smooth
filter. Our method is a compromise between local methods and global
    journal   = {International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering},  volume    = {2},
  number    = {5},
  year      = {2008},
  pages     = {579 - 582},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 17, 2008},