Implicit Visualization and Inverse Modeling of Growing Trees
A method is proposed for photo‐realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending branching structures, however, these methods fail to account for the inclusion of non‐smooth features such as branch bark ridges and bud sca...
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| Published in | Computer graphics forum Vol. 23; no. 3; pp. 351 - 360 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford, UK and Boston, USA
Blackwell Publishing, Inc
01.09.2004
Blackwell Publishing Ltd |
| Subjects | |
| Online Access | Get full text |
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| Abstract | A method is proposed for photo‐realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending branching structures, however, these methods fail to account for the inclusion of non‐smooth features such as branch bark ridges and bud scale scars. These features constitute an important visual aspect of a living tree, and are also observed to vary over time. The proposed method incorporates these features by using an hierarchical implicit modeling system, which provides a variety of tools for combining surface components in both smooth and non smooth configurations. A procedural interface to this system supports the use of inverse modeling, which is a global‐to‐local methodology, where the local properties of plant organs are described in terms of their global position within the tree architecture. Inverse modeling is used to define both the tree structure at any time, and a continuous developmental sequence for the tree from a seedling. These techniques provide an intuitive paradigm for the definition of complex tree growth sequences and their subsequent visualization, based solely on observed phenomena. Thus, a key advantage is that they do not require any knowledge of, or simulation of, the underlying biological processes.
Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Curve, surface, solid, and object representations I.3.7 [Computer Graphics]: Animation |
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| AbstractList | A method is proposed for photo-realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending branching structures, however, these methods fail to account for the inclusion of non-smooth features such as branch bark ridges and bud scale scars. These features constitute an important visual aspect of a living tree, and are also observed to vary over time. The proposed method incorporates these features by using an hierarchical implicit modeling system, which provides a variety of tools for combining surface components in both smooth and non smooth configurations. A procedural interface to this system supports the use of inverse modeling, which is a global-to-local methodology, where the local properties of plant organs are described in terms of their global position within the tree architecture. Inverse modeling is used to define both the tree structure at any time, and a continuous developmental sequence for the tree from a seedling. These techniques provide an intuitive paradigm for the definition of complex tree growth sequences and their subsequent visualization, based solely on observed phenomena. Thus, a key advantage is that they do not require any knowledge of, or simulation of, the underlying biological processes. [PUBLICATION ABSTRACT] A method is proposed for photo‐realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending branching structures, however, these methods fail to account for the inclusion of non‐smooth features such as branch bark ridges and bud scale scars. These features constitute an important visual aspect of a living tree, and are also observed to vary over time. The proposed method incorporates these features by using an hierarchical implicit modeling system, which provides a variety of tools for combining surface components in both smooth and non smooth configurations. A procedural interface to this system supports the use of inverse modeling, which is a global‐to‐local methodology , where the local properties of plant organs are described in terms of their global position within the tree architecture. Inverse modeling is used to define both the tree structure at any time, and a continuous developmental sequence for the tree from a seedling. These techniques provide an intuitive paradigm for the definition of complex tree growth sequences and their subsequent visualization, based solely on observed phenomena. Thus, a key advantage is that they do not require any knowledge of, or simulation of, the underlying biological processes. Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Curve, surface, solid, and object representations I.3.7 [Computer Graphics]: Animation A method is proposed for photo‐realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending branching structures, however, these methods fail to account for the inclusion of non‐smooth features such as branch bark ridges and bud scale scars. These features constitute an important visual aspect of a living tree, and are also observed to vary over time. The proposed method incorporates these features by using an hierarchical implicit modeling system, which provides a variety of tools for combining surface components in both smooth and non smooth configurations. A procedural interface to this system supports the use of inverse modeling, which is a global‐to‐local methodology, where the local properties of plant organs are described in terms of their global position within the tree architecture. Inverse modeling is used to define both the tree structure at any time, and a continuous developmental sequence for the tree from a seedling. These techniques provide an intuitive paradigm for the definition of complex tree growth sequences and their subsequent visualization, based solely on observed phenomena. Thus, a key advantage is that they do not require any knowledge of, or simulation of, the underlying biological processes. Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Curve, surface, solid, and object representations I.3.7 [Computer Graphics]: Animation |
| Author | Galbraith, Callum Mündermann, Lars Wyvill, Brian |
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| Cites_doi | 10.1016/S1524-0703(03)00047-X 10.1109/SMI.2002.1003538 10.1007/978-1-4613-8476-2 10.1111/1467-8659.00365 10.1080/10867651.2001.10487542 10.1145/218380.218427 10.1145/325165.325249 10.1145/325334.325250 10.1145/122718.122757 10.1145/358523.358553 10.1109/38.736469 10.1145/74334.74336 10.1111/1467-8659.1310057 10.1145/378456.378505 10.1016/0022-5193(71)90191-3 10.14214/sf.a8533 10.1111/j.1469-8137.1987.tb00859.x 10.1145/15886.15892 |
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| References | GODIN C., COSTES E., CARAGLIO Y.: Exploring plant topological structure with the AMAPmod software: an outline. Silva Fennica 31, 3 (1997), 357-368. VIENNOT X. G., EYROLLES G., JANEY N., ARQUES D.: Combinatorial Analysis of Ramified Patterns and Computer Imagery of Trees. In Computer Graphics (SIGGRAPH 89 Conference Proceedings) (1989), vol. 23, pp. 31-40. WYVILL B., GALIN E., GUY A.: Extending The CSG Tree. Warping, Blending and Boolean Operations in an Implicit Surface Modeling System. Computer Graphics Forum 18, 2 (June 1999), 149-158. DE REFFYE P., EDELIN C., FRANCON J., JAEGER M., PUECH C.: Plant Models Faithful to Botanical Structure and Development. In Computer Graphics (SIGGRAPH 88 Conference Proceedings) (1998). vol. 22, pp. 151-158. MANDELBROT B. B.: The Fractal Geometry of Nature. W. H. Freeman and Co., San Francisco, 1982. OPPENHEIMER P. E.: Real-Time Design and Animation of Fractal Plants and Trees. In Computer Graphics (SIGGRAPH 86 Conference Proceedings) (1986), vol. 20, pp. 55-64. SHINOZAKI K., YODA K., HOZUMI K., KIRA T.: A quantitative analysis of plant form - the pipe theory model, i. basic analysis. Japanese Journal of Ecology 14, 3 (1964), 97-105. HOLTON M.: Strands, gravity, and botanical tree imagery. Computer Graphics Forum 13, 1 (1994), 57-67.DOI: 10.1111/1467-8659.1310057 PRUSINKIEWICZ P., LINDENMAYER A.: The Algorithmic Beauty of Plants. Springer-Verlag, New York, 1990. JIN X., TAI C., FENG J., PENG Q.: Convolution surfaces for line skeletons with polynomial weight distributions. Journal of Graphics Tools 6, 3 (2001), 17-28. BLOOMENTHAL J. (Ed.): Introduction to Implicit Surfaces. Morgan Kaufmann, ISBN 1-55860-233-X, 1997. AKLEMAN E., CHENB J., SRINIVASAN V.: A minimal and complete set of operators for the development of robust manifold mesh modelers. Graphical Models 65, 5 (September 2003), 286-304.DOI: 10.1016/S1524-0703(03)00047-X LINTERMANN B., DEUSSEN O.: Interactive Modeling of Plants. IEEE Computer Graphics and Applications 19, 1 (1999), 56-65.DOI: 10.1109/38.736469 WILSON B.: The Growing Tree. The University of Massechuesetts Press, Amherst, USA, 1984. HONDA H.: Description of the form of trees by the parameters of the tree-like body. Journal of Theoretical Biology 31, (1971), 331-338. BELL A. D.: Plant Form: An Illustrated Guide to Flowering Plant Morphology. Oxford University Press, Oxford, 1991. JANSSEN J. M., LINDENMAYER A.: Models for the Control of Branch Positions and Flowering Sequences of Capitula in Mycelis muralis (L.) Dumont (Compositae). New Phytologist 105, 2 (1987), 191-220. HOSIE R.: Native Trees of Canada. Fitzhenry and Whiteside Ltd., Markham, ON, Canada, 1990. BLOOMENTHAL J.: Modeling the Mighty Maple. In Computer Graphics (SIGGRAPH 85 Conference Proceedings), (1985), vol. 19, pp. 305-311. FOURNIER A., FUSSEL D., CARPENTER L.: Computer rendering of stochastic models. Communications of the ACM 25, 6 (1982), 371-384.DOI: 10.1145/358523.358553 THOMPSON D. W.: On Growth and Form. Cambridge University Press, Cambridge, 1961. October 1996 1989; 23 1987; 105 June 1999; 18 1997 August 1993 1995 2003 1991 June 1998 September 2003; 65 1998; 22 1999 1985; 19 1971; 31 December 2003 1982; 25 1990 2001 2001; 6 1986; 20 1997; 31 1999; 19 May 2002 1986 1994; 13 1984 1964; 14 1961 1982 e_1_2_7_5_2 e_1_2_7_4_2 e_1_2_7_3_2 BLOOMENTHAL J. (e_1_2_7_8_2) 1995 BLOOMENTHAL J. (e_1_2_7_9_2) 1997 e_1_2_7_7_2 e_1_2_7_19_2 e_1_2_7_18_2 WILSON B. (e_1_2_7_37_2) 1984 e_1_2_7_16_2 SHINOZAKI K. (e_1_2_7_32_2) 1964; 14 e_1_2_7_13_2 TOBLER R. F. (e_1_2_7_34_2) 2002 ADZHIEV V. (e_1_2_7_2_2) 1999 e_1_2_7_12_2 e_1_2_7_10_2 GASCUEL M.‐P. (e_1_2_7_15_2) 1993 MÜNDERMANN L. (e_1_2_7_24_2) 2003 e_1_2_7_27_2 e_1_2_7_28_2 FOURNIER A. (e_1_2_7_14_2) 1986 PASKO G. (e_1_2_7_30_2) 2002 HART J. C. (e_1_2_7_17_2) 1996 DESBRUN M. (e_1_2_7_11_2) 1998 HOSIE R. (e_1_2_7_20_2) 1990 THOMPSON D. W. (e_1_2_7_33_2) 1961 e_1_2_7_23_2 e_1_2_7_31_2 e_1_2_7_22_2 e_1_2_7_21_2 MANDELBROT B. B. (e_1_2_7_25_2) 1982 e_1_2_7_35_2 e_1_2_7_36_2 e_1_2_7_38_2 MARITAUD K. (e_1_2_7_26_2) 2003 PRUSINKIEWICZ P. (e_1_2_7_29_2) 2001 BELL A. D. (e_1_2_7_6_2) 1991 |
| References_xml | – reference: DE REFFYE P., EDELIN C., FRANCON J., JAEGER M., PUECH C.: Plant Models Faithful to Botanical Structure and Development. In Computer Graphics (SIGGRAPH 88 Conference Proceedings) (1998). vol. 22, pp. 151-158. – reference: AKLEMAN E., CHENB J., SRINIVASAN V.: A minimal and complete set of operators for the development of robust manifold mesh modelers. Graphical Models 65, 5 (September 2003), 286-304.DOI: 10.1016/S1524-0703(03)00047-X – reference: PRUSINKIEWICZ P., LINDENMAYER A.: The Algorithmic Beauty of Plants. Springer-Verlag, New York, 1990. – reference: FOURNIER A., FUSSEL D., CARPENTER L.: Computer rendering of stochastic models. Communications of the ACM 25, 6 (1982), 371-384.DOI: 10.1145/358523.358553 – reference: VIENNOT X. G., EYROLLES G., JANEY N., ARQUES D.: Combinatorial Analysis of Ramified Patterns and Computer Imagery of Trees. In Computer Graphics (SIGGRAPH 89 Conference Proceedings) (1989), vol. 23, pp. 31-40. – reference: BLOOMENTHAL J.: Modeling the Mighty Maple. In Computer Graphics (SIGGRAPH 85 Conference Proceedings), (1985), vol. 19, pp. 305-311. – reference: GODIN C., COSTES E., CARAGLIO Y.: Exploring plant topological structure with the AMAPmod software: an outline. Silva Fennica 31, 3 (1997), 357-368. – reference: HOSIE R.: Native Trees of Canada. Fitzhenry and Whiteside Ltd., Markham, ON, Canada, 1990. – reference: THOMPSON D. W.: On Growth and Form. Cambridge University Press, Cambridge, 1961. – reference: WYVILL B., GALIN E., GUY A.: Extending The CSG Tree. Warping, Blending and Boolean Operations in an Implicit Surface Modeling System. Computer Graphics Forum 18, 2 (June 1999), 149-158. – reference: HONDA H.: Description of the form of trees by the parameters of the tree-like body. Journal of Theoretical Biology 31, (1971), 331-338. – reference: JANSSEN J. M., LINDENMAYER A.: Models for the Control of Branch Positions and Flowering Sequences of Capitula in Mycelis muralis (L.) Dumont (Compositae). New Phytologist 105, 2 (1987), 191-220. – reference: LINTERMANN B., DEUSSEN O.: Interactive Modeling of Plants. IEEE Computer Graphics and Applications 19, 1 (1999), 56-65.DOI: 10.1109/38.736469 – reference: BELL A. D.: Plant Form: An Illustrated Guide to Flowering Plant Morphology. Oxford University Press, Oxford, 1991. – reference: BLOOMENTHAL J. (Ed.): Introduction to Implicit Surfaces. Morgan Kaufmann, ISBN 1-55860-233-X, 1997. – reference: JIN X., TAI C., FENG J., PENG Q.: Convolution surfaces for line skeletons with polynomial weight distributions. Journal of Graphics Tools 6, 3 (2001), 17-28. – reference: MANDELBROT B. B.: The Fractal Geometry of Nature. W. H. Freeman and Co., San Francisco, 1982. – reference: SHINOZAKI K., YODA K., HOZUMI K., KIRA T.: A quantitative analysis of plant form - the pipe theory model, i. basic analysis. Japanese Journal of Ecology 14, 3 (1964), 97-105. – reference: OPPENHEIMER P. E.: Real-Time Design and Animation of Fractal Plants and Trees. In Computer Graphics (SIGGRAPH 86 Conference Proceedings) (1986), vol. 20, pp. 55-64. – reference: WILSON B.: The Growing Tree. The University of Massechuesetts Press, Amherst, USA, 1984. – reference: HOLTON M.: Strands, gravity, and botanical tree imagery. Computer Graphics Forum 13, 1 (1994), 57-67.DOI: 10.1111/1467-8659.1310057 – start-page: 137 year: May 2002 end-page: 144 – start-page: 251 year: 1991 end-page: 256 – volume: 13 start-page: 57 issue: 1 year: 1994 end-page: 67 article-title: Strands, gravity, and botanical tree imagery publication-title: Computer Graphics Forum – volume: 25 start-page: 371 issue: 6 year: 1982 end-page: 384 article-title: Computer rendering of stochastic models publication-title: Communications of the ACM – start-page: 59 year: 1999 end-page: 69 – year: 2003 – volume: 31 start-page: 357 issue: 3 year: 1997 end-page: 368 article-title: Exploring plant topological structure with the AMAPmod software: an outline publication-title: Silva Fennica – volume: 19 start-page: 305 year: 1985 end-page: 311 article-title: Modeling the Mighty Maple publication-title: Computer Graphics (SIGGRAPH 85 Conference Proceedings) – volume: 19 start-page: 313 year: 1985 end-page: 322 – start-page: 35 year: May 2002 end-page: 42 – volume: 18 start-page: 149 issue: 2 year: June 1999 end-page: 158 article-title: Extending The CSG Tree. 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| Snippet | A method is proposed for photo‐realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending... A method is proposed for photo-realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending... |
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| SubjectTerms | Computer animation Simulation Studies Trees Visualization |
| Title | Implicit Visualization and Inverse Modeling of Growing Trees |
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