A three-dimensional image transformation, executing on one or more computer systems, can mathematically transform a first two-dimensional image space onto a second two-dimensional image space using a three-dimensional image space. The three-dimensional image transformation can project the three-dimensional image space onto the first two-dimensional image space to map the first two-dimensional image space to the three-dimensional image space. Thereafter, the three-dimensional image transformation can project the second two-dimensional image space onto the three-dimensional image space to map the three-dimensional image space to the second two-dimensional image space.

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.

A system includes a processor for implementing a computer-aided technology (CAx) system. The CAx system includes a graphical-user-interface (GUI) configured to present a computer-aided design (CAD) model that includes at least one part. The system also includes memory storing instructions configured to cause the processor to receive the CAD model and product and manufacturing information (PMI) associated with the CAD model, validate the PMI, and present the CAD model with validated PMI via the GUI.

Systems and methods for fully automated anatomical analysis of an anatomical structure are provided to facilitate pre-operative planning. The computerized method may include obtaining a plurality of images, e.g., MSCT images, of patient-specific cardiovascular anatomy, and analyzing the MSCT images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure. For example, the trained artificial intelligence module may execute segmentation, point detection, curve detection, or plane detection deep learning modules, independently or in combination, to identify the anatomical landmarks. The method further may include deriving anatomical measurements of the one or more identified anatomical landmarks, and displaying the virtual three-dimensional model alongside the anatomical measurements of the one or more identified anatomical landmarks.

The point cloud encoding/decoding method, an encoder, a decoder, and a storage medium are provided. The method comprises: determining a bounding box of a point cloud to be encoded/decoded; when performing octree division on the bounding box of said point cloud on the basis of a Morton code order, obtaining coordinate information of the current node; determining a first neighbor mode on the basis of the coordinate information; determining an entropy encoding parameter/entropy decoding parameter of the current node on the basis of the first neighbor mode; and performing entropy encoding/entropy decoding on occupation information of the current node on the basis of the entropy encoding parameter/entropy decoding parameter.

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 method for is provided. The method can include receiving data characterizing a first measurement image having a first state and a first set of three-dimensional coordinate data corresponding to the first measurement image. The first measurement image can include two-dimensional image data. The method can also include receiving data characterizing at least one geometric dimension determined for the first measurement image. The method can further include receiving data characterizing a second measurement image having a second state and a second set of three-dimensional coordinate data corresponding to the second measurement image. The method can also include applying the first state of the first measurement image to the second measurement image. The method can further include displaying at least one second geometric dimension determined using the second set of three-dimensional coordinate data. Related systems performing the method are also provided.

An information processing apparatus includes a processor configured to display a relationship object indicating a positional relationship of at least two or more measurement spots in a molded product at a position corresponding to the relationship on a three-dimensional model of the molded product.

An example computing system is configured to (i) generate a cross-sectional view of a three-dimensional drawing file; (ii) receive a first user input indicating a selection of a first mesh, wherein the selection comprises a selection point that establishes a first end point; (iii) generate a first representation indicating an alignment of the first end point with at least one corresponding geometric feature of the first mesh and a second representation indicating a set of one or more directions; (iv) receive a second user input indicating a given direction; (v) based on receiving the second user input, generate a dynamic representation of the dimensioning information along the given direction; (vi) receive a third user input indicating that the second user input is complete; (vii) based on receiving the third user input, add the dimensioning information to the cross-sectional view between the first end point and the second end point.

Systems, methods, and non-transitory computer readable media for selectively controlling display of virtual objects are provided. Virtual objects may be virtually presented in an environment via a wearable extended reality appliance operable in a first and second display modes. In the first display mode, positions of the virtual objects are maintained in the environment regardless of detected movements of the wearable extended reality appliance, and in the second display mode, the virtual objects move in the environment in response to detected movements of the wearable extended reality appliance. Movement of the wearable extended reality appliance may be detected. A selection of the first or second display mode may be received. Display signals configured to present the virtual objects in a manner consistent with the selected display mode may be outputted for presentation via the wearable extended reality appliance in response to the selected display mode.