@InProceedings{Torrećo:2000:ShShIn,
author = "Torre{\~a}o, Jos{\'e} R. A.",
title = "Shape from shading and intensity gradient",
booktitle = "Proceedings...",
year = "2000",
editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Gramado, RS, Brazil, from October 17 to
20.",
keywords = "computer vision, shape from shading, intensity gradient, shape
estimation, brightness gradient, Green function approach,
shape-from-shading, GSFS, single brightness image, uniform
disparity field, matching image, linear expansion, reflectance
map, surface gradient, closed-form depth map, free parameters,
parameter estimation, depth estimate, higher-frequency components,
imaged surface, real images, computer vision technique.",
abstract = "We present a novel algorithm for shape estimation, using both
brightness and brightness gradient as input data. Our algorithm is
an improvement of the recently introduced Green's function
approach to shape-from-shading (GSFS). In GSFS, we assume that the
single brightness image will be matched to a second image through
a uniform disparity field, and solve for the matching image via
Green's function. When a linear expansion of the reflectance map
is considered, the matching image can be related to surface
gradient, leading to a closed-form depth map whose free parameters
are easily estimated. The author shows that the same procedure can
be repeated with the gradient image as input; a second depth
estimate thus results which takes into account higher-frequency
components of the imaged surface. Extensive experimentation with
synthetic and real images corroborates the advantage of the new
method.",
conference-location = "Gramado, RS, Brazil",
conference-year = "17-20 Oct. 2000",
doi = "10.1109/SIBGRA.2000.883887",
url = "http://dx.doi.org/10.1109/SIBGRA.2000.883887",
organisation = "SBC - Brazilian Computer Society",
ibi = "6qtX3pFwXQZeBBx/w4kh2",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/w4kh2",
targetfile = "7-14.pdf",
urlaccessdate = "2024, May 04"
}