@article{Bartesaghi:2005:TDS,
optpostscript = {},
number = {4},
month = jul,
author = {Alberto Bartesaghi and Guillermo Sapiro and Tom Malzbender and Dan
Gelb},
optkey = {},
optannote = {},
localfile = {papers/Bartesaghi.2005.TDS.pdf},
optkeywords = {},
doi = {http://dx.doi.org/10.1016/j.gmod.2005.02.002},
optciteseer = {},
journal = j-GM,
opturl = {},
volume = {67},
optwww = {},
title = {{T}hree-{D}imensional {S}hape {R}endering from {M}ultiple {I}mages},
abstract = {A paradigm for automatic three-dimensional shape and geometry
rendering from multiple images is introduced in this paper. In
particular, non-photorealistic rendering (NPR) techniques in the
style of pen-and-ink illustrations are addressed, while the
underlying presented ideas can be used in other modalities, such
as halftoning, as well. Existing NPR approaches can be categorized
in two groups depending on the type of input they use: image based
and object based. Using multiple images as input to the NPR
scheme, we propose a novel hybrid model that simultaneously uses
information from the image and object domains. The benefit not
only comes from combining the features of each approach, it also
minimizes the need for manual or user assisted tasks in extracting
scene features and geometry, as employed in virtually all
state-of-the-art NPR approaches. As particular examples we use
input images from binocular stereo and multiple-light photometric
stereo systems. From the image domain we extract the tonal
information to be mimicked by the NPR synthesis algorithm, and
from the object domain we extract the geometry, mainly principal
directions, obtained from the image set without explicitly using
3D models, to convey shape to the drawings. We describe a
particular implementation of such an hybrid system and present a
number of automatically generated pen-and-ink style drawings. This
work then shows how to use and extend well-developed techniques in
computer vision to address fundamental problems in shape
representation and rendering.},
pages = {332--346},
year = {2005},
}
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