A method for generating print images for additive manufacturing includes: accessing a part model; accessing a set of dimensional tolerances for the part model; and segmenting the part model into a set of model layers. The method also includes, and, for each model layer: detecting an edge in the model layer; assigning a dimensional tolerance to the edge; defining an outer exposure shell inset from the edge by an erosion distance inversely proportional to a width of the dimensional tolerance; defining an inner exposure shell inset from the outer exposure shell and scheduled for exposure separately from the outer exposure shell; defining an a outer exposure energy proportional to the width of the dimensional tolerance and assigned to the outer exposure shell; and defining an inner exposure energy greater than the outer exposure energy and assigned to the inner exposure shell.

The invention relates to a method for representing an environmental region of a motor vehicle in an image, in which real images of the environmental region are captured by a plurality of real cameras of the motor vehicle and the image is generated from these real images, which at least partially represents the environmental region, wherein the image is represented from a perspective of a virtual camera arranged in the environmental region, and the image is generated as a bowl shape, wherein at least one virtual elongated distance marker is represented in the image, by which a distance to the motor vehicle is symbolized in the virtual bowl shape. The invention also relates to a computer program product and a display system for a motor vehicle.

An example computing system is configured to extract gridline information from a two-dimensional drawing file and determine, for the gridline information, first coordinate information that is based on a first datum. The computing system converts the first coordinate information into second coordinate information that is based on a second datum, where the second coordinate information is used by a three-dimensional drawing file. The computing system is also configured to receive a request to generate a two-dimensional view of the three-dimensional drawing file, where the two-dimensional view includes an intersection of two meshes within the three-dimensional drawing file. The computing device generates the two-dimensional view of the three-dimensional drawing file and adds, to the generated two-dimensional view, (i) at least one gridline corresponding to the gridline information and (ii) dimensioning information involving the at least one gridline and at least one of the two meshes.

An example computing system is configured to (i) receive a request to generate a cross-sectional view of a three-dimensional drawing file, where the cross-sectional view is based on a location of a cross-section line within the three-dimensional drawing file and includes an intersection of two meshes within the three-dimensional drawing file; (ii) generate the cross-sectional view of the three-dimensional drawing file; (iii) add, to the generated cross-sectional view, dimensioning information involving at least one of the two meshes; (iv) generate one or more controls for adjusting a location of the cross-section line within the three-dimensional drawing file; and (v) based on an input indicating a selection of the one or more controls, adjust the location of the cross-section line within the three-dimensional drawing file, update the cross-sectional view based on the adjusted location of the cross-section line, and update the dimensioning information to correspond to the updated cross-sectional view.

An example computing system is configured to extract gridline information from a two-dimensional drawing file and determine, for the gridline information, first coordinate information that is based on a first datum. The computing system converts the first coordinate information into second coordinate information that is based on a second datum, where the second coordinate information is used by a three-dimensional drawing file. The computing system is also configured to receive a request to generate a two-dimensional view of the three-dimensional drawing file, where the two-dimensional view includes an intersection of two meshes within the three-dimensional drawing file. The computing device generates the two-dimensional view of the three-dimensional drawing file and adds, to the generated two-dimensional view, (i) at least one gridline corresponding to the gridline information and (ii) dimensioning information involving the at least one gridline and at least one of the two meshes.

A method for acquiring body measurement information includes: detecting that a subject is in proximity to a flat-panel imaging device; capturing, via the flat-panel imaging device, a plurality of images; processing the plurality of images to build a three-dimensional model of the subject; calculating one or more body measurements of the subject based on the three-dimensional model; and outputting the one or more body measurements.

The invention is a system for measuring the true dimensions and orientation of objects in a two dimensional image. The system is comprised of a ruler comprising at least one set of features each comprised of two or more markers that are identifiable in the image and having a known spatial relationship between them and a software package comprising programs that allow extension of the ruler and other objects in the two dimensional image beyond their physical dimensions or shape. The system can be used together with radiographic imagery means, processing means, and display means to take x-ray images and to measure the true dimensions and orientation of objects and to aid in the identification and location of a surgery tool vs. anatomy in those x-ray images. The invention provides a method of drawing and displaying on a two dimensional x-ray image measurements of objects visible in said image, graphical information, or templates of surgical devices.

A damage assessment module operating on a computer system automatically evaluates a roof, estimating damage to the roof by analyzing a point cloud of a roof. The damage assessment module identifies individual shingles from the point cloud and detects potentially damaged areas on each of the shingles. The damage assessment module then maps the potentially damaged areas of each shingle back to the point cloud to determine which areas of the roof are damaged. Based on the estimation, the damage assessment module generates a report on the roof damage.

A damage assessment module operating on a computer system automatically evaluates a property, estimating damage to the property by analyzing a point cloud of a property. The damage assessment module identifies individual point clusters or segments from the point cloud and detects potentially damaged areas of the property surface by identifying outlier points in the point clusters. The damage assessment module may be used to determine the financial cost of the damage and/or determine whether the property should be replaced or repaired. In addition to eliminating the need for an estimator to visit the property in person, the damage assessment module improves the consistency and accuracy associated with estimating damage to a property.

Example systems and methods for virtual visualization of a three-dimensional model of an object in a two-dimensional environment. The method may include moving and aligning the three-dimensional model of the object along a plane in the two-dimensional environment.