Abstract:
Certain examples described herein relate to the use of three-dimensional threshold matrices in the production of three-dimensional objects. In one case, data values for a three-dimensional matrix for use in halftoning are assigned based on a structural volume coverage representation. In certain described cases, the structural volume coverage representation defines a probabilistic distribution of at least two different structures available for the production of the three-dimensional object. A convex combination of the at least two different structures is determined, based on data values of the structure volume coverage representation. A data value may be assigned to the three-dimensional matrix based on the convex combination determined. The resultant three-dimensional matrix is used in a halftoning operation to control a structure distribution in the three-dimensional object.
Abstract:
Certain described examples relate to the generation of data for use in producing a three-dimensional object. Certain examples utilize lattice indexes to define a lattice associated with a particular portion of the three dimensional object. The lattice index may be used in a matrix generation operation that compares index values with threshold values to generate a three-dimensional lattice matrix. The three-dimensional lattice matrix is useable to instruct a structure of the three-dimensional object.
Abstract:
Certain examples described herein relate to the use of three-dimensional threshold matrices in the production of three-dimensional objects. In one case, data values for a three-dimensional matrix for use in halftoning are assigned based on a structural volume coverage representation. In certain described cases, the structural volume coverage representation defines a probabilistic distribution of at least two different structures available for the production of the three-dimensional object. A comparison is performed based on data values for the structural volume coverage representation. The output of the comparison is a data value to be assigned to the three-dimensional matrix. The resultant three-dimensional matrix is used in a halftoning operation to control a structure distribution in the three-dimensional object.
Abstract:
Methods and apparatus relating to three-dimensional object models are described. In one example, (i) data representing a geometrical description of a three-dimensional object defining object geometry in a geometric space and (ii) at least one object property description describing an object property in an object property space are received. The object property space and the geometric space are intersected to define an object model, wherein an object property is defined at an intersection between a described object property and defined object geometry.
Abstract:
Certain examples described herein relate to a three-dimensional threshold matrix. The three-dimensional threshold matrix may be used for three-dimensional halftoning. In one example, values for a predefined two-dimensional threshold matrix are shifted with respect to a third dimension to provide the three-dimensional threshold matrix. In one example, the three-dimensional threshold matrix may then be processed in association with a digital representation of a three-dimensional object to output discrete material arrangement instructions for at least one production material. The instructions may be used to control an additive manufacturing system to produce the three-dimensional object.
Abstract:
Certain methods and systems are described that allow the spectral control of a print output. A plurality of colorants are used where one or more colorants contain nanoparticles. Each colorants has a specified spectral range corresponding to the constituent nanoparticles. To print with these colorants a spectral separation may be used that maps an input color with associated spectral information or direct spectral information to print control data, the print control data having defined values for depositions with each combination of the colorants. The spectral separation may be constructed by characterizing a set of spectral Neugebauer primaries for the plurality of colorants.