A computer-implemented method for subject-specific two-dimensional modeling of a subject's vasculature may comprise: receiving a subject-specific three-dimensional model of the subject's vasculature, wherein the subject-specific three-dimensional model includes one or more centerlines; determining a two-dimensional viewing plane; determining a projection of the one or more centerlines of the subject-specific three-dimensional model onto the two-dimensional viewing plane; generating one or more models around the one or more centerlines; and generating a two-dimensional image depicting the one or more models.

Aspects of the disclosure include methods, apparatuses, and non-transitory computer-readable storage mediums for generating a floor plan from a point cloud model. An apparatus includes processing circuitry that receives an input three-dimensional point cloud corresponding to a three-dimensional space. The processing circuitry determines a plurality of wall planes in the received input three-dimensional point cloud. The processing circuitry generates a plurality of line segments. Each line segment is generated by projecting a respective wall plane of the plurality of wall planes to a floor plane in the three-dimensional space. The processing circuitry represents the plurality of wall planes in the three-dimensional space using the plurality of line segments in a two-dimensional space corresponding to the floor plan. The processing circuitry adjusts the plurality of line segments in the two-dimensional space to improve the floor plan. The processing circuitry generates the floor plan based on the plurality of adjusted line segments.

Augmenting real-time views of a patient with three-dimensional (3D) data. In one embodiment, a method may include identifying 3D data for a patient with the 3D data including an outer layer and multiple inner layers, determining virtual morphometric measurements of the outer layer from the 3D data, registering a real-time position of the outer layer of the patient in a 3D space, determining real-time morphometric measurements of the outer layer of the patient, automatically registering the position of the outer layer from the 3D data to align with the registered real-time position of the outer layer of the patient in the 3D space using the virtual morphometric measurements and using the real-time morphometric measurements, and displaying, in an augmented reality (AR) headset, one of the inner layers from the 3D data projected onto real-time views of the outer layer of the patient.

A method builds a workpiece using an additive manufacturing process, wherein the workpiece is built up by consolidating material in a layer-by-layer manner. The method includes receiving an initial geometric model defining surface geometry of the workpiece, determining workpiece slices to be consolidated as layers of the workpiece during the additive manufacturing process from the initial geometric model, determining adjusted positions of the workpiece slices adjusted from initial positions of the workpiece slices as determined from the initial geometric model, the determination of the adjusted positions based upon warping of the workpiece expected to occur during or after the additive manufacturing process, and building the workpiece using the additive manufacturing process, wherein the workpiece slices are formed in the adjusted positions.

An information processing apparatus includes circuitry. The circuitry creates a surface image of the object and a cross-section image of the object. The circuitry receives a creation instruction that instructs to create an image indicating a particular position in an object. The circuitry creates a surface position image indicating the particular position in the surface image and a cross-section position image indicating the particular position in the cross-section image according to the received creation instruction.

Methods are disclosed for the generation and editing of layer delineations within three-dimensional tomography scans. Cross sections of a subject are generated and presented to an operator, who has the ability to edit layer delineations within the cross section, or determine parameters used to generate new cross sections. By guiding an operator through a set of displayed cross sections, the methods can allow for a more rapid, efficient, and error-free segmentation of the subject. The cross sections can be nonplanar in shape or planar and non-axis-aligned. The cross sections can be restricted to exclude one or more user-defined regions of the subject, or to include only one or more user-defined regions of the subject. The cross sections can be localized to a point-of-interest. Iterative implementations of the methods can be used to arrive at a segmentation deemed satisfactory by the user.

Disclosed are a method for processing an image, an electronic device, and a storage medium. The method includes: acquiring a plurality of point cloud grids from a gridded point cloud map; determining each reference plane with the number of sampling points matched being greater than or equal to a threshold from the initial planes corresponding respectively to the plurality of the point cloud grids; correcting the initial planes corresponding respectively to the plurality of point cloud grids based on each reference plane to obtain target planes corresponding respectively to the plurality of point cloud grids; and performing denoise processing on sampling points based on the target plane of each point cloud grid.

A computer-implemented method implements a resilient interdependent spatial alignment (RISA) process to improve and maintain spatial alignment between two associated coordinate systems by moving a follow coordinate system to align it to a lead coordinate system. In some use cases, the coordinate systems may be a physical space and a corresponding digital model of the space. A user device such as an augmented reality headset or robotic sensors may be moving in the physical space, and alignment to the model is continually maintained, updated and improved responsive to acquired spatial data to enable, for example, holographic display of the model in the headset very closely aligned to the physical space. Multiple volumes can each have corresponding digital “spaces” or RisaSites to manage anchor data with dynamic hand-off among them while accommodating differing scale and density.

Embodiments described herein relate to apparatuses and methods for generating face pair surfaces of a solid, including, but not limited to, identifying at least two face pairs including a first face pair and a second face pair. Each of the first and second face pairs including at least two face pair surfaces, graphically displaying the at least two face pairs, and receiving user input for at least one of (1) merging the first face pair and the second face pair, (2) deleting the first face pair, (3) adding a third face pair, (4) adding an additional surface to one of the at least two face pair surfaces of the first face pair, (5) removing at least one face pair surface of the first face pair, or (6) splitting the second face pair into at least a fourth and a fifth face pair, and determining at least one adjusted face pair based on the user input.

A method of designing a package configured to securely accommodate one of two or more differently shaped objects. The method comprises: establishing a predetermined orientation for each of the two or more differently shaped objects relative to common axes; identifying dimensionally common points of the two or more differently shaped objects; and developing a design for a package configured to constrain the two or more differently shaped objects at the identified dimensionally common points.