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Reconstructing 3D Tree Models from Instrumented Photographs. Ilya Shlyakhter ,Max Rozenoer,Julie Dorsey, and Seth Teller Massachusetts Institute of Technology IEEE Computer Graphics and Applications 2001. Realism.
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Reconstructing 3D Tree Models from Instrumented Photographs Ilya Shlyakhter ,Max Rozenoer,Julie Dorsey, and Seth Teller Massachusetts Institute of Technology IEEE Computer Graphics and Applications 2001
Realism • The realistic modeling of vegetation is an important problem in computer graphics. • Vegetation adds a significant dimension of realism to a scene. • Improve realism in architectural landscapes by trees.
Many techiques and modeling package have been developed for contructing a tree of a particular type (Tree Professional Software, MaxTrees etc.). • Variation between two tree of single type can be very significant, depending on factors (growth conditions - sunlight, human intervention - pruning branch)
The techniques and packages currently available don’t provide sufficient control over the final shape. • The author proposed a solution for reconstructing a faithful 3D model of foliaged tree from a set of instrumented photographs.
System Details • The system consists of four stages. • The input is a set of images of a tree, 4-15 images covering at least 135 degree around the tree • Assume the position and orientation for each image is known.
Stage • 1: Image segmentation • 2: Visual hull construction • 3: Skeleton construction • 4: L-system
Future work • Involves tree-specific knowledge into the algorithm. • Recover foliage density in the tree. • The resulting skeleton often differs greatly from the actual one. Adding constraints based on knowledge of growth patterns for particular tree types should mitigate this problem.
Future work (cont.) • The L-system used for reconstruction should be tree-type specific. • No work has been done on reconstructing the nonfoliaged winter trees.