Image-based modeling of plants and trees

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February 25, 2022 | History

Image-based modeling of plants and trees

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Plants and trees are among the most complex natural objects. Much work has been done attempting to model them, with varying degrees of success. In this book, we review the various approaches in computer graphics, which we categorize as rule-based, image-based, and sketch-based methods. We describe our approaches for modeling plants and trees using images. Image-based approaches have the distinct advantage that the resulting model inherits the realistic shape and complexity of a real plant or tree. We use different techniques for modeling plants (with relatively large leaves) and trees (with relatively small leaves). With plants, we model each leaf from images, while for trees, the leaves are only approximated due to their small size and large number. Both techniques start with the same initial step of structure from motion on multiple images of the plant or tree that is to be modeled.

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Language
English

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Cover of: Image-based modeling of plants and trees
Image-based modeling of plants and trees
2010, Morgan & Claypool Publishers
electronic resource / in English

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Book Details


Table of Contents

1. Introduction
2. Review of plant and tree modeling techniques
Rule-based methods
Sketch-based methods
Image-based methods
Modeling leaves, flowers, and bark
Modeling environmental effects
Modeling other flora
Appendix: Brief description of L-system
3. Image-based technique for modeling plants
Overview of plant modeling system
Preliminary processes
Graph-based leaf extraction
Graph partition
User interface
Graph update
Boundary segmentation
Model-based leaf reconstruction
Extraction of a generic leaf model
Leaf reconstruction
Branch extraction and reconstruction
Results
Discussion
Summary
4. Image-based technique for modeling trees
Overview of the system
Image capture and 3D point recovery
Branch recovery
Reconstruction of visible branches
Reconstruction of occluded branches
Populating the tree with leaves
Image segmentation and clustering
Adding leaves to branches
Results
Discussion
Summary
5. Single image tree modeling
Overview of system
Image plane sketching
Tree growing
Growth engine
Data-driven attractors
Completing the tree
Results
Summary
6. Summary and concluding remarks
Acknowledgments
Bibliography
Authors' biographies.

Edition Notes

Part of: Synthesis digital library of engineering and computer science.

Title from PDF t.p. (viewed on November 4, 2009).

Series from website.

Includes bibliographical references (p. 67-72).

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Published in
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
Series
Synthesis lectures on computer vision -- # 1
Other Titles
Synthesis digital library of engineering and computer science.

Classifications

Dewey Decimal Class
621.367
Library of Congress
TA1637 .K255 2010

The Physical Object

Format
[electronic resource] /

ID Numbers

Open Library
OL25558875M
Internet Archive
imagebasedmodeli00kang
ISBN 13
9781608452453, 9781608452446

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February 25, 2022 Edited by ImportBot import existing book
July 1, 2019 Edited by MARC Bot import existing book
July 29, 2014 Created by ImportBot import new book