Abstract: An example of a non-transitory computer-readable medium storing machine-readable instructions. The instructions may cause the processor to receive a three-dimensional (3D) object representation and subdivide it into a triangular grid. Curved triangles may be calculated for triangles in the triangular grid. The triangles may be subdivided and differences calculated between corresponding sections of the curved triangles and the received 3D object representation.

Abstract: An image processing system acquires a first three-dimensional model of an object. The image processing system includes a processor and storage medium encoded with instructions executable by the processor. The instructions include instructions to define a material potential function for a material. The material potential function is a function of a three-dimensional origin point of the material in the object, a three-dimensional propagation limit of the material in the object, and a three-dimensional propagation function of the material in the object. The instructions include instructions to generate a second three-dimensional model of the object based in part on the material potential function and the first model. The second model illustrates propagation of the material through an interior volume of the object at a unit level. A controller generates control signals based on the second model, and a fluid ejection engine performs an additive manufacturing process based on the control signals.

Abstract: An example of a computer-readable medium is provided to store machine-readable instructions. The instructions may cause a processor to receive three-dimensional (3D) object representations of an object. The distance between points of a grid applied to 3D object representation and random points on the 3D object representation may provide a sampling error used in calculating a modeling accuracy between the 3D object representations.

Abstract: An example of a non-transitory computer-readable medium storing machine-readable instructions. The instructions may cause the processor to receive a three-dimensional (3D) object representation and subdivide it into a triangular grid. Curved triangles may be calculated for triangles in the triangular grid. The triangles may be subdivided and differences calculated between corresponding sections of the curved triangles and the received 3D object representation.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions executable by the processor to: identify a slice height for direct slicing of a Non-Uniform Rational B-Spline (NURBS) model formed of surfaces by slicing planes. The instructions may cause the processor to slice the NURBS model to produce slices having the identified slice height and to adaptively sub-divide surfaces of the NURBS model whose bounding boxes respectively intersect at least one of the slicing planes until the bounding boxes meet a predefined criterion. In addition, for each of the generated bounding boxes which meet the predefined criterion, the instructions may further cause the processor to determine sample points of the surface with which the bounding box corresponds and to store the sample points of the surfaces for printing.

Abstract: An example of a computer-readable medium is provided to store machine-readable instructions. The instructions may cause a processor to receive three-dimensional (3D) object representations of an object. The distance between points of a grid applied to 3D object representation and random points on the 3D object representation may provide a sampling error used in calculating a modeling accuracy between the 3D object representations.

Abstract: An image processing system acquires a first three-dimensional model of an object. The image processing system includes a processor and storage medium encoded with instructions executable by the processor. The instructions include instructions to define a material potential function for a material. The material potential function is a function of a three-dimensional origin point of the material in the object, a three-dimensional propagation limit of the material in the object, and a three-dimensional propagation function of the material in the object. The instructions include instructions to generate a second three-dimensional model of the object based in part on the material potential function and the first model. The second model illustrates propagation of the material through an interior volume of the object at a unit level. A controller generates control signals based on the second model, and a fluid ejection engine performs an additive manufacturing process based on the control signals.

Abstract: In one implementation, a method for generation of a soft-proof file is described. A ticket template and a job definition are associated with input contents. Print-ready data is caused to be generated based on the input content, the job definition, and the ticket template. A soft-proof file is caused to be generated based on the print-ready data, the ticket template, and the job definition.

Abstract: In example implementations, a plurality of re-structured version of texts is generated for each one of a plurality of different documents by applying a plurality of text summarization methods to each one of the plurality of different documents. An effectiveness score is calculated for each one of the plurality of text summarization methods to determine the text summarization method with the highest effectiveness score for an application. The plurality of re-structured versions of text for each one of the plurality of different documents that is generated by the text summarization method that has the highest effectiveness score is stored to be used in the application.

Abstract: Examples herein disclose multiple engines to produce output representative of a summary of document produced by each of the multiple engines. The examples apply a weighting mechanism to the output specific to that engine to obtain a value corresponding to that output. The examples identify specialized language if the value corresponding to that output reaches at least a particular threshold.

Abstract: In one implementation, a method for generation of a soft-proof file is described. A ticket template and a job definition are associated with input contents. Print-ready data is caused to be generated based on the input content, the job definition, and the ticket template. A soft-proof file is caused to be generated based on the print-ready data, the ticket template, and the job definition.

Abstract: Examples herein disclose multiple engines to produce output representative of a summary of document produced by each of the multiple engines. The examples apply a weighting mechanism to the output specific to that engine to obtain a value corresponding to that output. The examples identify specialized language if the value corresponding to that output reaches at least a particular threshold.

Abstract: A technique for displaying a folding document can include connecting an edge of a first panel to an edge of a second panel to create a shared edge representing a fold of a folding document. The first panel and second panel can form a first area of the folding document, and the first area and a second area of the folding document can be displayed in a graphical user interface (GUI).

Abstract: A technique for displaying a folding document can include connecting an edge of a first panel to an edge of a second panel to create a shared edge representing a fold of a folding document. The first panel and second panel can form a first area of the folding document, and the first area and a second area of the folding document can be displayed in a graphical user interface (GUI).