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- W2532333582 abstract "Visual appearance and realism play important roles in plant models. At present, most work in the creation of plant models has centered on the local-to-global approach, whereby plant models are specified in terms of rules describing the development of individual plant components. The development and final structure of local-to-global models emerge from these developmental rules. Therefore, many of a plant's global features, such as crown shape or branch distribution, cannot be explicitly specified. In this dissertation, a plant modeling methodology is described that allows explicit control of global features by using positional information; local characteristics of plant components are determined based on a component's position within the plant structure. This global-to-local methodology inverts the local-to-global approach of simulation-based models by progressing from global plant characteristics specified by the user to algorithmically generated details. For example, global features such as crown shape and branch distribution can be represented by functions relating local characteristics to position. These functions can be graphically defined interactively and provide direct control over visually important global aspects of the model. The modeling methodology is illustrated by recreating the form and development of several plant structures. The presented algorithms are united by their use of positional information, which is defined as the position of plant components along the supporting branches. Examples demonstrate that this global-to-local modeling methodology is well-suited to a number of applications, including the interactive construction of structural and developmental plant models for image synthesis purposes." @default.
- W2532333582 created "2016-10-28" @default.
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- W2532333582 date "2004-01-01" @default.
- W2532333582 modified "2023-09-26" @default.
- W2532333582 title "Inverse modeling of plants" @default.
- W2532333582 hasPublicationYear "2004" @default.
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