Image-based modeling of plants and trees
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 o...
Main Author: | |
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Other Authors: | |
Format: | Electronic |
Language: | English |
Published: |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool Publishers,
c2010.
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Series: | Synthesis lectures on computer vision (Online) ;
# 1. |
Subjects: | |
Online Access: | Abstract with links to full text |
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.