A method of automatically producing maps and measures that visualize and quantify placement and progress of construction elements, such as walls, ducts, etc. in images. From a set of images depicting a scene, element confidences per pixel in each of the images are produced using a classification model that assigns such confidences. Thereafter, element confidences for each respective one of a set of 3D points represented in the scene are determined by aggregating the per-pixel element confidences from corresponding pixels of each of the images that is known to observe the respective 3D points. These element confidences are then updated based on primitive templates representing element geometry to produce a 3D progress model of the scene.

A method and apparatus for recognizing a three-dimensional gesture based on mark points, a device and a storage medium are provided. An image collected by each camera is acquired; for each image, an identifier and a corresponding two-dimensional coordinate position of each mark point in the image are determined; a three-dimensional coordinate position of each mark point in a coordinate system of a corresponding camera is determined according to the two-dimensional coordinate position of each mark point and a calibration parameter of the corresponding camera; the three-dimensional coordinate position is converted to an initial three-dimensional coordinate position in a coordinate system of the designated space; and a target three-dimensional coordinate position of each mark point in the coordinate system of the designated space is determined according to the initial three-dimensional coordinate position of each mark point in each image and the identifier of the corresponding mark point.

A computer-implemented method for parametrization of a computer-aided design 3D model of a mechanical part including a portion having a distribution of material arranged as a sweep. The sweep has a trajectory and a boundary. The method includes obtaining the 3D model, the 3D model including a skin portion representing an outer surface of the portion of the mechanical part, and one or more vector fields, each vector field representing the boundary and/or the trajectory. The method further includes, for each vector field, determining a distribution of values of a respective parameter of the skin portion by optimizing an objective function which rewards alignment of a gradient of a candidate parameter with the vector field.

A computer-implemented method for material extrusion detection in a portion of a mechanical part having a distribution of material. The method includes obtaining a CAD 3D model of the mechanical part including a skin portion representing an outer surface of the portion of the mechanical part and an extrusion axis. The method further includes computing a ratio of an area of an orthogonal projection of the skin portion over an area of the skin portion. The method further includes determining whether or not the distribution of material is arranged as an extrusion based on the ratio and a ratio threshold. The outer surface is determined to be an extrusion surface when the ratio is lower than the ratio threshold. This forms an improved solution for processing a CAD 3D model of a mechanical part.

Apparatuses, systems, and techniques generate poses of an object based on image data of the object obtained from a first viewpoint of the object and a second viewpoint of the object. The poses can be evaluated to determine a portion of the image data usable by an estimator to generate a pose of the object.

Apparatuses, systems, and techniques generate poses of an object based on data of the object observed from a first viewpoint and a second viewpoint. The poses can be evaluated to determine a portion of the data usable by an estimator to generate a pose of the object.

Disclosed is a system, method, and devices as system elements to recognize an object by an object recognizing system including an imaging device and a moving assembly to move the imaging device around the object, to form a certified visual model of the object to be recognized. Especially the disclosure relates to gemstone imaging by an imaging method including photographing a target, in an illumination, by a camera, to obtain at least one image of the targeted object to be recognized.

A recording medium records a program that causes a computer to execute processing of: obtaining pieces of three-dimensional point data observed a mobile body; calculating a feature amount according to a distance between a position of the mobile body and each of three-dimensional points indicated by the pieces of three-dimensional point data; and specifying a reference point that corresponds to the position of the mobile body from among reference points in a mobile space of the mobile body which are registered in a database that registers a combinations each of the respective reference points and the feature amounts according to the distance between the position of the respective reference points and each of three-dimensional points indicated by a pieces of three-dimensional point data observed from the position of the respective reference points, based on the calculated feature amount and the database.

Provided is a medical image processing apparatus including: an image acquisition unit that obtains a medical image of a subject; and an image processing unit that generates a second medical image by applying predetermined image processing on the medical image. The image processing unit includes: a surface area extraction unit that extracts a surface area including information that can lead to individuality determination or identification of the subject, from the medical image; a body orientation determination unit that determines body orientation on the basis of the surface area; a surface area deformation unit that deforms the surface area of the medical image; and an object assignment unit that assigns an object indicating the body orientation to the medical image in which the surface area has been deformed and that generates the second medical image.

A system includes a first sensor having a fixed location relative to a workspace, a second sensor, at least one robotic manipulator coupled to a manipulation tool, and a control system in communication with the at least one robotic manipulator. The control system is configured to determine a location of a workpiece in the workspace based on first sensor data from the first sensor and a three-dimensional (3D) model corresponding to the workpiece. The control system is configured to map a set of 2D coordinates from a second 2D image from the second sensor to a set of 3D coordinates based on the location, and to generate one or more control signals for the at least one robotic manipulator based on the set of 3D coordinates.