Viewpoint-Driven Simplification of Plant and Tree Foliage
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Other documents of the author: Gasch, Cristina; Remolar, Inmaculada; Chover, Miguel; Rebollo Santamaría, Cristina
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comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
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Title
Viewpoint-Driven Simplification of Plant and Tree FoliageDate
2018Bibliographic citation
GASCH, Cristina; REMOLAR QUINTANA, Inmaculada; CHOVER SELLÉS, Miguel; REBOLLO SANTAMARÍA, Cristina. (2018). Viewpoint-Driven Simplification of Plant and Tree Foliage. Entropy, v. 20(4), 213Type
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info:eu-repo/semantics/publishedVersionAbstract
Plants and trees are an essential part of outdoor scenes. They are represented by such
a vast number of polygons that performing real-time visualization is still a problem in spite of
the advantages of the hardware. ... [+]
Plants and trees are an essential part of outdoor scenes. They are represented by such
a vast number of polygons that performing real-time visualization is still a problem in spite of
the advantages of the hardware. Some methods have appeared to solve this drawback based on
point- or image-based rendering. However, geometry representation is required in some interactive
applications. This work presents a simplification method that deals with the geometry of the
foliage, reducing the number of primitives that represent these objects and making their interactive
visualization possible. It is based on an image-based simplification that establishes an order of leaf
pruning and reduces the complexity of the canopies of trees and plants. The proposed simplification
method is viewpoint-driven and uses the mutual information in order to choose the leaf to prune.
Moreover, this simplification method avoids the pruned appearance of the tree that is usually
produced when a foliage representation is formed by a reduced number of leaves. The error
introduced every time a leaf is pruned is compensated for if the size of the nearest leaf is altered
to preserve the leafy appearance of the foliage. Results demonstrate the good quality and time
performance of the presented work. [-]
Is part of
Entropy (2018), v. 20 (4)Investigation project
This work was supported by the Spanish Ministry of Science and Technology (Project TIN2016-75866-C3-1-R).Rights
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