Download Geometric Modeling and Reasoning of Human-Centered Freeform by Charlie C. L. Wang PDF

By Charlie C. L. Wang

The fresh pattern in user-customized product layout calls for the form of goods to be immediately adjusted in keeping with the human body’s form, in order that humans will think more well-off while donning those items. Geometric ways can be utilized to layout the freeform form of goods worn through humans, which may significantly increase the potency of layout methods in quite a few industries regarding personalized items (e.g., garment layout, toy layout, jewel layout, shoe layout, and layout of scientific units, etc.). those items are typically composed of very advanced geometric shapes (represented by way of free-form surfaces), and aren't pushed via a parameter desk yet a electronic human version with free-form shapes or a part of human our bodies (e.g., wrist, foot, and head models).

Geometric Modeling and Reasoning of Human-Centered Freeform items introduces the algorithms of human physique reconstruction, freeform product modeling, constraining and reconstructing freeform items, and form optimization for bettering the manufacturability of freeform items. in response to those recommendations, the layout automation challenge for human-centered freeform items may be essentially solved.

Researchers and builders engaged on difficulties of computerized designing separately custom-made items can use this e-book as a reference, and it will probably even be utilized in classes in computer-aided product layout on the graduate level.

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18). However, to simplify the evaluation of the distortion function E in Eq. 17), a discrete version of the function is evaluated on m sample points. For the examples shown in this section, the vertices of the template model are used as the sample points. For each sample point ti ∈ MT , its closest point is found as c(ti ) ∈ {h j |∀h j ∈ M H }. The mapping function Υ is then updated by moving the 40 2 Digital Human Body Fig. 20 The flow of the pose alignment step and the relationship between the spatial and the MDS domains of the template and the input models.

Although the computation of the shortest path is slowed down if too many edge nodes are added, this algorithm 52 2 Digital Human Body Fig. 28 The shortest paths are constructed to link the anchor points on an input cow model (middle). Only edge paths and face paths are used in [37] (left), and smoother curves can be obtained by using adaptively added edge nodes (right) (Image taken from [40] with permission) Fig. 29 An illustration of adaptive addition of edge nodes and robust intersection check: adding a new path across the face splits the face into two regions (left), new edge nodes are adaptively added and a new path further subdivides the face into three regions (middle), and a proposed new path (in dash line) intersecting the existing paths is prevented as its two ending nodes are located in different regions of the face (right) is still fast enough as the computation of the shortest paths is limited in some local regions based on VDs.

Computational Complexity Local approaches (such as [37]) compute the shortest paths among all pairs of anchor points, and then construct the common base domains in a trial-and-error manner. Many invalid paths are computed unnecessarily. The procedures of searching the shortest paths are performed on the whole mesh surface. Using VDs as the underlying governing field, one knows exactly which paths need to be computed by the neighboring relationship of the diagrams. The VD-based approach can always limit the Dijkstra searching to be within two diagrams (that are local regions) of a VD centered at anchor points.

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