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Image-based modeling of plants and trees

By: Kang, Sing Bing.
Contributor(s): Quan, Long.
Material type: materialTypeLabelBookSeries: Synthesis lectures on computer vision: # 1.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2010Description: 1 electronic text (x, 73 p. : ill.) : digital file.ISBN: 9781608452453 (electronic bk.).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Image processing -- Digital techniques | Computer drawing -- Special effects | Botanical illustration -- Computer programs | Botany -- Computer simulation | Trees -- Computer simulation | Plants -- Computer simulationDDC classification: 621.367 Online resources: Abstract with links to resource Also available in print.
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.
Abstract: 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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E books E books PK Kelkar Library, IIT Kanpur
Available EBKE215
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Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

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

Series from website.

Includes bibliographical references (p. 67-72).

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.

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

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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.

Also available in print.

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

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