Dynamically customized animatable 3D models of virtual characters (“avatars”) are generated in real time from multiple inputs from one or more devices having various sensors. Each input may comprise a point cloud associated with a user's face/head. An example method comprises receiving inputs from sensor data from multiple sensors of the device(s) in real time, and pre-processing the inputs for determining orientation of the point clouds. The method may include registering the point clouds to align them to a common reference; automatically detecting features of the point clouds; deforming a template geometry based on the features to automatically generate a custom geometry; determining a texture of the inputs and transferring the texture to the custom geometry; deforming a template control structure based on the features to automatically generate a custom control structure; and generating an animatable object having the custom geometry, the transferred texture, and the custom control structure.

A strain measurement method includes disposing a 3D camera module at a first measurement position; using the 3D camera module to acquire a first 3D image of a to-be-measured object at a first to-be-measured position; acquiring a second 3D image of the to-be-measured object at the first to-be-measured position; and splicing the first and second 3D images to obtain an initial 3D image. The method still includes: moving the 3D camera module from the first measurement position to a second measurement position; using the 3D camera module to acquire a third 3D image of the to-be-measured object at a second to-be-measured position; acquiring a fourth 3D image of the to-be-measured object at the second to-be-measured position; and splicing the third and fourth 3D images to obtain a deformed 3D image. The method further includes comparing the initial 3D image and the deformed 3D image to output 3D deformation information.

Dynamically customized animatable 3D models of virtual characters (“avatars”) are generated in real time from multiple inputs from one or more devices having various sensors. Each input may comprise a point cloud associated with a user's face/head. An example method comprises receiving inputs from sensor data from multiple sensors of the device(s) in real time, and pre-processing the inputs for determining orientation of the point clouds. The method may include registering the point clouds to align them to a common reference; automatically detecting features of the point clouds; deforming a template geometry based on the features to automatically generate a custom geometry; determining a texture of the inputs and transferring the texture to the custom geometry; deforming a template control structure based on the features to automatically generate a custom control structure; and generating an animatable object having the custom geometry, the transferred texture, and the custom control structure.

A device for measuring objects is provided, said device comprising a mobile base such that it is movable to objects to be measured. Then, the object may be measured by means of a measuring head fastened to a kinematic unit.

A load scanning apparatus for taking physical measurements from a load. The load scanning apparatus has a scanning robot including a plurality of sensors arranged in an array spanning substantially across at least one load dimension in a first direction. The array of sensors moves together in a second direction, in a scanning plane. The plurality of sensors are configured to take images of the load from the scanning plane, and are configured to capture distance information about the distance of said load from the scanning plane.

On the basis of a measured shape, which is a three-dimensional shape of a subject measured by means of a measuring unit using an image captured when an image capturing unit is disposed in a first position and a first attitude, a movement control unit determines a second position and a second attitude for capturing an image of the subject again, and sends an instruction to a movement mechanism. The three-dimensional shape is represented by means of height information from a reference surface. The movement control unit extracts, from the measured shape, a deficient region having deficient height information, and determines the second position and the second attitude on the basis of the height information around the deficient region of the measured shape. The position and attitude of the image capturing unit can be determined in such a way as to make it easy to eliminate the effects of shadows.

A system for measuring total operating deflection shapes of a structure includes one or more imagers, each including two cameras spaced apart from one another and each oriented and positioned to have corresponding fields of view of a different corresponding section of the structure, with the corresponding sections that may include overlap area of the structure within each of the different sections of the structure. Each of the cameras generates a corresponding data stream, which is communicated to a controller, which is configured to measure the response of the structure to an excitation, such as a vibration or an impulse. The system is configured to convert time-domain data from each of the data streams to the frequency-domain data using a Fourier Transform algorithm and stitching the shapes to obtain the total operating deflection shapes of the structure by scaling and stitching together the frequency-domain data.

A vehicle imaging station for capturing images of scratches and dents on a vehicle, the vehicle imaging station including a tunnel having an entrance and an exit, and a structured light source. The station has a first camera arranged with a field of view comprising/containing/encompassing a structured light portion of the tunnel volume in which the structured light image will be reflected to be visible to the first camera by a vehicle moving along the vehicle pathway, and a second camera arranged with a field of view comprising a non-structured light portion of the tunnel volume in which the structured light image will not be reflected to be visible to the second camera when a vehicle moves along the vehicle pathway. The station also includes a non-reflective, non-illuminating surface within the tunnel on a same side of the central axis of the vehicle pathway as the second camera.

The present invention relates to a three-dimensional scanning device and method for scanning the shape of a subject by means of a three-dimensional scanner while rotating the subject and, more specifically, to a three-dimensional scanning device and method wherein scan data of a subject, acquired at arbitrary rotation angles of a turntable, can be automatically registered without user intervention and without a need to perform calibration according to the position of a three-dimensional scanner relative to the turntable.

A system for measuring total operating deflection shapes of a structure includes one or more imagers, each including two cameras spaced apart from one another and each oriented and positioned to have corresponding fields of view of a different corresponding section of the structure, with the corresponding sections that may include overlap area of the structure within each of the different sections of the structure. Each of the cameras generates a corresponding data stream, which is communicated to a controller, which is configured to measure the response of the structure to an excitation, such as a vibration or an impulse. The system is configured to convert time-domain data from each of the data streams to the frequency-domain data using a Fourier Transform algorithm and stitching the shapes to obtain the total operating deflection shapes of the structure by scaling and stitching together the frequency-domain data.