@article{DeCarlo:2002:SAP,
opteditor = {},
number = {3},
month = jul,
optnote = {},
author = {Doug DeCarlo and Anthony Santella},
optkey = {},
series = CGPACS,
optannote = {},
url = {http://doi.acm.org/10.1145/566570.566650},
address = {New York},
localfile = {papers/DeCarlo.2002.SAP.pdf},
optpublisher = {},
doi = {http://doi.acm.org/10.1145/566654.566650},
organization = {ACM SIGGRAPH},
journal = SIGGRAPH2002,
citeseer = {http://citeseer.nj.nec.com/525440.html},
volume = {21},
optcrossref = {},
optstatus = {OK},
title = {{S}tylization and {A}bstraction of {P}hotographs},
abstract = {Good information design depends on clarifying the meaningful
structure in an image. We describe a computational approach to
stylizing and abstracting photographs that explicitly responds to
this design goal. Our system transforms images into a line-drawing
style using bold edges and large regions of constant color. To do
this, it represents images as a hierarchical structure of parts
and boundaries computed using state-of-the-art computer vision.
Our system identifies the meaningful elements of this structure
using a model of human perception and a record of a user's eye
movements in looking at the photo; the system renders a new image
using transformations that preserve and highlight these visual
elements. Our method thus represents a new alternative for
non-photorealistic rendering both in its visual style, in its
approach to visual form, and in its techniques for interaction. },
year = {2002},
pages = {769--776},
}
|