A method and system for generating a three-dimensional representation of a vehicle to assess damage to the vehicle. A mobile device may capture multispectral scans of a vehicle from each a plurality of cameras configured to scan the vehicle at a different wavelength of the electromagnetic spectrum. A virtual model of the vehicle may be generated from the multispectral scan of the vehicle, such that anomalous conditions or errors in individual wavelength data are omitted from model generation. A representation of the virtual model may be presented to the user via the display of the mobile device. The virtual model of the vehicle may further be analyzed to assess damage to the vehicle.

Disclosed herein is an apparatus and method for automatically creating a 3D personalized figure suitable for 3D printing by detecting a face area and features for respective regions from face data acquired by heterogeneous sensors and by optimizing global/local transformation. The 3D personalized figure creation apparatus acquires face data of a user corresponding to a reconstruction target; extracts feature points for respective regions from the face data, and reconstructs unique 3D models of the user's face, based on the extracted feature points; creates 3D figure models based on the unique 3D models and previously stored facial expression models and body/adornment models; and verifies whether each 3D figure model has a structure and a shape corresponding to actual 3D printing, corrects and edits the 3D figure model based on results of verification, and outputs a 3D figure model corresponding to 3D printing.

The present invention discloses an object modeling and movement method. The method is applied to a mobile terminal, and the mobile terminal includes a color camera and a TOF module. The method includes: performing panoramic scanning on a target object by using the color camera and the TOF module, to obtain a 3D model of the target object; obtaining a target skeletal model; fusing the target skeletal model and the 3D model of the target object; obtaining a target movement manner; and controlling the target skeletal model in the target movement manner, to animate the 3D model of the target object in the target movement manner. This can implement integration from scanning, 3D reconstruction, skeletal rigging, to preset animation display for an object on one terminal, thereby implementing dynamization of a static object, and increasing interest in using the mobile terminal by a user.

The disclosure relates to a system and method for verifying robot data that is used by a safety system monitoring a workspace shared by a human and robot. One or more sensors monitoring the workspace are arranged to obtain a three-dimensional view of the workspace. Raw data from each of the sensors is acquired and analyzed to determine the positioning and spatial relationship between the human and robot as both move throughout the workspace. This captured data is compared to the positional data obtained from the robot to assess whether discrepancies exist between the data sets. If the information from the sensors does not sufficiently match the data from the robot, then a signal from the system may be sent to deactivate the robot and prevent potential injury to the human.

Systems and methods for performing three-dimensional semantic parsing of indoor spaces in accordance with embodiments of the invention are disclosed. In one embodiment, a method includes receiving input data representing a three-dimensional space, determining disjointed spaces within the received data by generating a density histogram on each of a plurality of axes, determining space dividers based on the generated density histogram, and dividing the point cloud data into segments based on the determined space dividers, and determining elements in the disjointed spaces by aligning the disjointed spaces within the point cloud data along similar axes to create aligned versions of the disjointed spaces normalizing the aligned version of the disjointed spaces into the aligned version of the disjointed spaces, determining features in the disjointed spaces, generating at least one detection score, and filtering the at least one detection score to determine a final set of determined elements.

A method and device for automatically identifying a point of interest (e.g., the deepest or highest point) on a viewed object using a video inspection device. The method involves placing a first cursor on an image of the object to establish a first slice plane and first surface contour line, as well as placing another cursor, offset from the first cursor, used to establish an offset (second) slice plane and an offset (second) surface contour line. Profile slice planes and profile surface contour lines are then determined between corresponding points on the first surface contour line and the offset (second) surface contour line to automatically identify the point of interest.

Device, system, and method of generating a reduced-size volumetric dataset. A method includes receiving a plurality of three-dimensional volumetric datasets that correspond to a particular object; and generating, from that plurality of three-dimensional volumetric datasets, a single uniform mesh dataset that corresponds to that particular object. The size of that single uniform mesh dataset is less than ¼ of the aggregate size of the plurality of three-dimensional volumetric datasets. The resulting uniform mesh is temporally coherent, and can be used for animating that object, as well as for introducing modifications to that object or to clothing or garments worn by that object.

An automatic body movement recognition and association system that includes a preprocessing component and a “live testing” engine component. The system further includes a transition posture detector module and a recording module. The system uses three dimensional (3D) skeletal joint information from a stand-alone depth-sensing capture device that detects the body movements of a user. The transition posture detector module detects the occurrence of a transition posture and the recording module stores a segment of body movement data between occurrences of the transition posture. The preprocessing component processes the segments into a preprocessed movement that is used by a classifier component in the engine component to produce text or speech associated with the preprocessed movement. An “off-line” training system that includes a preprocessing component, a training data set, and a learning system also processes 3D information, off-line from the training data set or from the depth-sensing camera, to continually update the training data set and improve a learning system that sends updated information to the classifier component in the engine component when the updated information is shown to improve accuracy.

An information processing device includes processing circuitry. The processing circuitry obtain target information that indicates at least one of a distance to a target object or a position of the target object. The processing circuitry generate, based on the target information, map information of a space including a plurality of areas, the map information indicating presence or absence of the target object in a first area included in the plurality of areas, and a detailed position of the target object in the first area.

The tooth type judgment program includes, extracting point groups indicating a surface of three-dimensional profile data from inputted three-dimensional profile data; moving and/or rotating the three-dimensional profile data of a tooth corresponding to a specific type of tooth; calculating an arrangement relationship in which an error between a point group included in any of a region of the extracted point groups and the three-dimensional profile data of the tooth becomes minimum, and estimating a direction of the tooth included in the region based on the calculated arrangement relationship.