A |
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activate | This function is used to define a particular portion of a cloud for further operations. |
align | This function is used to reposition several clouds of points to each other in order to reconstruct a complete object. |
C |
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cloud of points | A cloud of points is defined as a set of points in 3D space. It may
consist of a single point or several million of points. Those points may
be the result of a digitizing or of a computing operation.
In the current manual, the term cloud of points refer to several representations:
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cell | A cloud of points may consist of several cells (i.e. sub-clouds): for
example, the cloud of points representing the handle below consists of two
cells.
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characteristic line | They are particular lines corresponding for instance to curvature variations (fillets start/end) or sharp edges, ... |
cloud to align |
In actions aligning clouds, the cloud to align is the cloud that is moved to be repositioned on another element. |
constraint, constraint element |
In the action Align with constraints, setting a constraint consists in pairing two elements, one on the cloud to align, the second on the reference, to define the repositioning. Those two elements are called constraint element. |
F |
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filtering | Filtering a cloud of points is a method to create a lighter working context: some points are hidden, thus making further operations on the cloud quicker. Those hidden points can be recalled later. |
flipping edge | An edge common to two triangles of a polygon may be flipped, that is rotated, to respect the shape a sharp edge of the meshed part. |
M |
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mesh | A mesh consists of a set of polygonal faces (triangles) which
represent the surface of a 3D model. A triangulation is computed to
describe the neighborhood relation of all points.
A mesh can be used to check the quality of the points, or can be processed in other applications. A mesh may present some irregularities such as:
A mesh may also present some structural problems such as:
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N |
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neighborhood | Many functions in Digitized Shape Editor operate on the points in
space, regardless of the organization of the data in the cloud. In these
functions, you can specify a maximum distance (neighborhood) which will be
considered around a point for the operation. The larger the neighborhood
value, the more points will be considered, and possibly the operation may
become slower.
A default neighborhood value is proposed in those functions. |
R |
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reference | In actions aligning clouds, the reference is the target, i.e. the element on which a cloud will be repositioned. |
remove | This function deletes physically points from the cloud of points. The points can not be recovered. |
RPS | Reference Point System. It is defined by points such as centers of slots, cylinders, or other canonical geometrical shapes. It defines a product (parts, its assembly or sub-assemblies) in a pre-established coordinate system. RPS can be used to determine the alignment of the assembly tool such as assembly fixtures, and assembly line. It can also be used to make quality control, by checking the tolerance between the nominal points and the actually measured points on physical parts |
RPS constraints | The constraint used in RPS alignment is called RPS constraint. A RPS constraint is defined by a pair of points and/or circles respectively in the cloud to align and in the reference, plus the frozen axes. |
S |
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scan | Cloud of points can be organized in consecutive scans, that is points in parallel planes. |
sampling | This operation is performed while importing a cloud of point. You can choose to import only a percentage of the points of the cloud. |
shading | A mesh can be visualized in shaded mode. This mode is a method for visualizing the point data and getting an impression of its quality. |
W |
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working distance | This is the distance beyond which the elements are not taken into account for a computation. |