Overview   Tree   Index 
NPR Literature
PREV  NEXT FRAMES  NO FRAME 

[BSM+05]  Three-Dimensional Shape Rendering from Multiple Images

Bartesaghi:2005:TDS (Article)
Author(s)Bartesaghi A., Sapiro G., Malzbender T. and Gelb D.
Title« Three-Dimensional Shape Rendering from Multiple Images »
JournalGraphical Models
Volume67
Number4
Page(s)332--346
Year2005

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.

BibTeX code
@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},
}

 Overview   Tree   Index 
NPR Literature
PREV  NEXT FRAMES  NO FRAME 

Submit a bug

This document was generated by bib2html 3.3.
Copyright © 1998-05 Stéphane GALLAND (under the GNU General Public License)

Valid HTML 4.01!Valid CSS!