Modelling Plant Variation Through Growth

Modelling Plant Variation Through Growth 1. Introduction Creating a natural‐looking plant model is not a simple task; creating hundreds of plants for a scene is even more difficult. In the quest to attain realism, individual plant models have become increasingly complex through the addition of detail. Thus, manually modelling each individual plant in a scene is not acceptable. Our objective is to design an automatic, controllable approach for generating many naturally varied models from a single given model with little effort. This is achieved by subtly altering the overall shape of stems, branches and leaves requiring local natural variation to be correlated over the entire lengths of these elements. Previous techniques to automatically generate collections of similar models include instancing [DHL*98] , interpolation and stochastic modelling [FF80] . While these techniques are sometimes useful there are weaknesses. With instancing the exact repetition of a small set of models may be immediately recognized. Interpolation between a small set to create intermediate models is dependent on both the interpolating function and the interpolated parameters. Often the results look too mechanical due to exact smooth interpolation. Stochastic modelling adds randomness to the model's description and can be combined with instancing and interpolation. However, variation is limited http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computer Graphics Forum Wiley

Modelling Plant Variation Through Growth

Computer Graphics Forum, Volume 24 (3) – Sep 1, 2005

Loading next page...
 
/lp/wiley/modelling-plant-variation-through-growth-3i7wiZN2dL
Publisher
Wiley
Copyright
Copyright © 2005 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0167-7055
eISSN
1467-8659
DOI
10.1111/j.1467-8659.2005.00875.x
Publisher site
See Article on Publisher Site

Abstract

1. Introduction Creating a natural‐looking plant model is not a simple task; creating hundreds of plants for a scene is even more difficult. In the quest to attain realism, individual plant models have become increasingly complex through the addition of detail. Thus, manually modelling each individual plant in a scene is not acceptable. Our objective is to design an automatic, controllable approach for generating many naturally varied models from a single given model with little effort. This is achieved by subtly altering the overall shape of stems, branches and leaves requiring local natural variation to be correlated over the entire lengths of these elements. Previous techniques to automatically generate collections of similar models include instancing [DHL*98] , interpolation and stochastic modelling [FF80] . While these techniques are sometimes useful there are weaknesses. With instancing the exact repetition of a small set of models may be immediately recognized. Interpolation between a small set to create intermediate models is dependent on both the interpolating function and the interpolated parameters. Often the results look too mechanical due to exact smooth interpolation. Stochastic modelling adds randomness to the model's description and can be combined with instancing and interpolation. However, variation is limited

Journal

Computer Graphics ForumWiley

Published: Sep 1, 2005

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off