Pflanzenreich engler saxifraga by A. Engler

By A. Engler

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Note: FG = foreground, AL = automatic leaves, UAL = user assisted leaves, ASL = additional synthetic leaves, BET = branch edit time. 3,2) # AL 23 85 287 509 # UAL 6 21 69 35 # ASL 0 10 18 492 All leaves 29 116 374 1036 BET (min) 5 2 15 40 Indoor tree. The indoor tree, with its small leaves, was the most difficult to model. First, the 3D points are less accurate because they were typically recovered from 2D points on occluding boundaries of leaves (which are not reliable). In addition, much more user interaction was required to recover the branching structure due to its high complexity.

The user can move a curve by clicking on any point of the current branch to a new position. 6. 4: Branch structure editing. The editable areas are shown: 2D area (left), 3D space (right). The user modifies the radii of the circles or spheres (shown in red) to change the thickness of branches. • Edit radius. The radius is indicated as a circle (in 2D) or a sphere (in 3D). The user can enlarge or shrink the circle or sphere directly on the interface, effectively increasing or reducing the radius, respectively.

3D 2D . 1: Overview of our image-based plant modeling approach. the approach described in Lhuillier and Quan (2005) to compute a quasi-dense cloud of reliable 3D points in space. This technique is used because it has been shown to be robust and capable of providing sufficiently dense point clouds for depicting objects. This technique is well-suited because plants tend to be highly textured. The quasi-dense feature points used in Lhuillier and Quan (2005) are not the points of interest (Hartley and Zisserman (2000)), but regularly re-sampled image points from a kind of disparity map.

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