302 results about "3d shapes" patented technology

A LED phototherapy mask. The mask comprises a multilayer construction formed from at least one flexible material so as to be capable of being manipulated to adopt a desired 3D shape profile to fit the contours of a person's face.

In various examples, image-based three-dimensional occupant assessment for in-cabin monitoring systems and applications are provided. An evaluation function may determine a 3D representation of an occupant of a machine by evaluating sensor data comprising an image frame from an optical image sensor. The 3D representation may comprise at least one characteristic representative of a size of the occupant, (e.g., a 3D pose and / or 3D shape), which may be used to derive other characteristics such as, but not limited to weight, height, and / or age. A first processing path may generate a representation of one or more features corresponding to at least a portion of the occupant based on optical image data, and a second processing path may determine a depth corresponding to the one or more features based on depth data derived from the optical image data and ground truth depth data corresponding to the interior of the machine.

A computer-implemented method for designing a 3D modeled object representing a product to be manufactured, the designing method including, by a computer system, displaying simultaneously a 3D shape representation of the 3D modeled object, and a 2D block representation of the 3D modeled object. The method also comprises by a user interacting graphically with the 2D block representation, performing a selection of one or more block nodes among the at least one block node, upon user-action, adding to the 2D block representation a block node representing a respective operator of the subset, and automatically determining a respective arc between the output connector of each selected block node and a respective input connector of the added block node. The disclosure improves ergonomics.

In various examples, three-dimensional (3D) object or feature detection and localization for autonomous and semi-autonomous systems and applications is described herein. Systems and methods are disclosed that use different types of sensors, such as an image sensor and a LIDAR sensor, to determine information associated with objects, such as traffic objects (e.g., traffic signs, traffic signals, traffic markings, etc.). To determine the information for an object, image data is processed to determine a bounding shape associated with the object. The bounding shape is then used to determine a 3D shape, such as a frustum, corresponding to the object. Additionally, points data generated using the LIDAR sensor, such as an occupancy map and / or a point cloud, is processed to identify a portion of the points associated with (e.g., located within) the 3D shape. This portion of the points may then be used to determine the information associated with the object.

The invention discloses a multi-scale point cloud pre-training method for sampling from top to bottom, equipment and a medium. According to the method, through a U-Net type asymmetric encoder-decoder architecture and in combination with a multi-scale mask, the extraction capability of local features and global information of point cloud data is enhanced. According to the method, firstly, input point cloud data is subjected to multi-scale division and mask processing, then multi-scale features are extracted through an encoder, a masked point cloud area is reconstructed through a decoder, and a masked local point cloud block is recovered through a linear projection layer. According to the invention, the problem of multi-scale information leakage in the prior art is effectively avoided, and the point cloud data processing precision is improved. After self-supervised pre-training, the model shows excellent performance in a plurality of downstream tasks, especially in applications such as 3D shape classification, object detection and partial segmentation. The method has the advantages of high robustness and wide application prospect.

The invention relates to an assembly of one or more pegboards and beads, adapted for modular connection to each other and other components.

The invention discloses a compressor crankshaft high-precision 3D shape detection method based on laser vision, belongs to the technical field of precision measurement and intelligent manufacturing, and aims to solve the problems existing in crankshaft detection. The method comprises the following steps: step 1, scanning a compressor crankshaft in a non-contact manner by adopting a three-coordinate motion platform carrying a line laser contourgraph to obtain an original three-dimensional point cloud; 2, carrying out the preprocessing of the original three-dimensional point cloud through employing adaptive radius filtering and minimum point constraint voxel filtering; step 3, realizing pin hole position degree detection based on an improved RANSAC algorithm and two-dimensional boundary clustering, and fitting an end surface excircle and a pin hole circle to obtain the pin hole position degree; and step 4, realizing pin-end face perpendicularity detection through coarse registration and weighted ICP fine registration. The method is used for detecting the 3D morphology of the crankshaft.

An organic interface converting data into tangible 3D shapes using programmable materials. It includes an interaction point with multiple surfaces and a projection module, all coordinated by a computing device for data transmission and reception. Data streams carry computer-readable code interpreted by the projection module to reorient surfaces, thereby materializing the data in three-dimensional space. The interface allows tactile input via human touch generating electrical currents that alter surface properties like position and smoothness. It also responds to audible frequencies and can receive data from secondary computing devices. Using a computing device, users can create 3D objects through data transmission to these responsive surfaces. The interface supports user interactions through touch, voice commands, and digital inputs from devices such as smartphones or tablets. Users have the flexibility to adjust the interface's resolution and response rate to tailor their interaction experience.

The document relates to a tool for producing a 3D molded product from a pulp slurry, comprising a pair of molds having respective product faces, that are configured to face each other and to press a pulp layer therebetween, said product faces providing a 3D shape for molding the 3D molded product, said product faces presenting a respective outer product face edge, defining an outermost limit of a forming area of mold. At least one of the product faces, as seen from the product face edge and inwardly towards a center of gravity of the product face, presents an outer zone (Z1) having effectively no porosity, and an inner zone (Z4) having a porosity of 40-75%, wherein a first intermediate zone (Z2) is arranged between the outer zone (Z1) and the inner zone (Z4), and has a porosity that is greater than that of the outer zone (Z1) and less than that of the inner zone (Z4).

A painting work management device measures a position and a posture of a painting gun with respect to a surface to be painted, and calculates a formed film thickness distribution. The painting work management unit detects 3D data of the object to be painted, a distance of the painting gun with respect to the surface to be painted, an inclination angle and a moving speed of the painting gun, and accurately calculates the film thickness distribution formed on the surface to be painted based on a model formula representing a film thickness distribution pattern according to a shape of the surface to be painted in the 3D shape data of the object to be painted. When motion of the painting gun by the worker is abnormal, and when the film thickness distribution is insufficient or excessive, support is provided to prompt the worker to perform appropriate work.

The invention relates to the technical field of optical measurement, in particular to a complex reflective object surface reconstruction method and system based on multi-system point cloud fusion, and the method comprises the steps: carrying out the joint calibration of the spatial relation among a camera, a projector and an LCD screen; projecting to a target object based on a projection grating phase method and a phase deflection operation path, and collecting structured light patterns of the two through a camera; phase solving is carried out on the structured light pattern collected by the camera, and a three-dimensional reconstruction result is obtained in combination with the joint calibration information; and world coordinate system matching and point cloud fusion are carried out on the three-dimensional reconstruction result based on the joint calibration information, and the three-dimensional morphology of the target object is generated. According to the method, the problems that in diffuse reflection reconstruction, patterns projected by a projector cannot be comprehensively collected due to exposure and height and gradient ambiguity cannot be solved by a monocular phase deflection technology in high reflection can be solved complementarily, high reflection and diffuse reflection objects can be solved, a complete reconstructed object can be obtained, and the reconstruction precision is improved.

The invention belongs to the technical field of refraction detection, and particularly relates to a human eye dynamic refraction detection method based on a three-dimensional phase deflection method. The method comprises the following steps: S1, based on a three-dimensional phase deflection imaging system and an iterative representation integral algorithm, obtaining a 3D shape of a to-be-detected human eye in place in real time; s2, on the basis of the 3D shape of the to-be-detected human eye, the current staring direction of the to-be-detected human eye is obtained in real time in place by combining a ray tracing method; s3, establishing a refractive imaging system, and obtaining a diopter value of the to-be-measured human eye in the current staring direction in real time in place based on the refractive imaging system; and S4, fitting different staring directions of the to-be-detected human eyes and the dynamic numerical curve of the diopter values in the corresponding staring directions to realize human eye dynamic refraction detection. According to the method, an accurate treatment scheme can be accurately provided for the ametropia patient in a real scene, and guidance can be provided in the aspect of personalized customization of the spectacle lenses.

The invention relates to a method for processing medical images of human tissues of a zone of the body of a patient and in particular of the breast by means of a microwave medical imaging device, the method comprising the following steps implemented in a processing unit of the medical imaging device:—identifying at least one region of interest using at least one initial microwave image of a zone of the body of a patient;—processing each region of interest identified in an image so as: o to determine at least a first shape characteristic, preferably the solidity of each region of interest; o to determine at least a second and third characteristics relative to the texture of each region of interest; the first, second and third characteristics being coordinates characterising each region of interest;—locating, in a space of at least three dimensions, the dimensions of which are at least the first, second and third characteristic, respectively, each region of interest based on its coordinates, the space being partitioned by a decision hypersurface into two continuous and separate sub-spaces, one sub-space such that a region of interest located therein is associated with a benign lesion, and another sub-space such that a region of interest located therein is associated with a malignant lesion.

A system and method directed to detecting placement of a medical device within a patient body, the system including a medical device including a multi-core optical fiber having a plurality of core fibers. Each of the plurality of core fibers can include a plurality of sensors each configured to reflect a light signal having an altered characteristic due to strain experienced by the multi-core optical fiber. The system can further include logic configured to determine a 3D shape of the medical device in accordance with the strain of the optical fiber. The logic can be configured to define a reference plane for the 3D shape and render an image of the 3D shape on a display of the system in accordance with the reference plane.

The approaches presented here provide systems and methods for generating three-dimensional objects (3D objects) using compressed data as input. One or more models can learn from a hash table of latent features to map different features to a reconstruction domain, using a hash function as part of a learned process. A 3D shape for an object can be encoded into a multilayer raster and represented by a series of embeddings, where each point within the raster can be interpolated based on the embeddings for a given layer of the multilayer raster. A decoder can be trained to use the embeddings to generate an output object.

In various examples, three-dimensional (3D) object or feature detection and localization for autonomous and semi-autonomous systems and applications is described herein. Systems and methods are disclosed that use different types of sensors, such as an image sensor and a LIDAR sensor, to determine information associated with objects, such as traffic objects (e.g., traffic signs, traffic signals, traffic markings, etc.). To determine the information for an object, image data is processed to determine a bounding shape associated with the object. The bounding shape is then used to determine a 3D shape, such as a frustum, corresponding to the object. Additionally, points data generated using the LIDAR sensor, such as an occupancy map and / or a point cloud, is processed to identify a portion of the points associated with (e.g., located within) the 3D shape. This portion of the points may then be used to determine the information associated with the object.

A method and a computing system including a memory and a processor learn a content generation model. The method may include preparing a training data set including a plurality of pairs of contents and captions, learning a first machine learning model to restore the contents from a low-dimensional latent code, learning a second machine learning model to output a latent code for a text embedding by learning relationship between text embeddings and latent codes of the pairs of the contents and the captions, and combining the first machine learning model and the second machine learning model. The content is implicit data which is function-based 3D shape data.

A robot interference checking motion planning technique using point sets. The technique uses CAD models of robot arms and obstacles and converts the CAD models to 3D point sets. The 3D point set coordinates are updated at each time step based on robot and obstacle motion. The 3D points are then converted to 3D grid space indices indicating space occupied by any point on any part. The 3D grid space indices are converted to 1D indices and the 1D indices are stored as sets per object and per time step. Interference checking is performed by computing an intersection of the 1D index sets for a given time step. Swept volumes are created by computing a union of the 1D index sets across multiple time steps. The 1D indices are converted back to 3D coordinates to define the 3D shapes of the swept volumes and the 3D locations of any interferences.

Methods and electronic devices for performing 3D reconstruction of an object are disclosed. The method includes acquiring a first point cloud and a second point cloud, the first and second point clouds being multi-sweep point clouds representing at least the object, extracting, using a first network, explicit features about a shape of the object based on the first and second point clouds, the first network having been trained to explicitly model the shape of the object, extracting, using a second network, implicit features about the shape of the object based on the first and second point clouds, the second network having been trained to implicitly model the shape of the object, generating, using a third network, a latent code by projecting the implicit features and the explicit features into a latent space, and generating a 3D shape representative of the object using the latent code.

The invention relates to the technical field of weld joint detection, and provides a visual intelligent weld joint detection device and method, and the detection method comprises the steps: obtaining a 2D image of a weld joint; weld joint 3D shape data are obtained, and weld joint point cloud data are generated; generating a training data set according to the welding seam 2D image and the welding seam point cloud data; constructing a neural network model, and training the neural network model through the training data set; performing intelligent detection on the weld seam image according to the trained neural network model; wherein a loss function of the neural network model comprises a 2D positioning loss item, a classification task loss item and a 3D frame regression loss item. According to the method, by obtaining the loss function including the 2D positioning loss item, the classification task loss item and the 3D frame regression loss item, multi-task collaborative optimization can be realized, classification robustness, 2D positioning precision and 3D geometric reconstruction capability are considered, and the method is suitable for scene requirements of high precision and multi-modal fusion in industrial detection.

The invention discloses an insulator real-time rendering method, system and device and a medium. The method comprises the steps of obtaining point cloud data of a transformer substation insulator to be rendered; and inputting the point cloud data of the transformer substation insulator to be rendered into a trained insulator real-time rendering model represented by an implicit 3D shape to obtain a rendered insulator, the insulator real-time rendering model represented by the implicit 3D shape comprises a sparse voxel field construction module, a feature vector query and interpolation module and a light tracing and rendering module, and the method, the system, the equipment and the medium can realize real-time rendering of the insulator, and have the characteristics of excellent detail representation, rendering efficiency and resource consumption performance.

In various examples, image-based three-dimensional occupant evaluation for in-cabin monitoring systems and applications is provided. The evaluation function may determine a 3D representation of an occupant of the machine by evaluating sensor data containing image frames from the optical image sensor. The 3D representation may include at least one characteristic (e.g., 3D pose and / or 3D shape) representing the size of the occupant, which may be used to derive other characteristics, such as, but not limited to, weight, height, and / or age. The first processing path may generate a representation of one or more features corresponding to at least a portion of the occupant based on the optical image data, and the second processing path may determine a depth corresponding to the one or more features based on depth data derived from the optical image data and truth-valued depth data corresponding to the machine interior.

In various examples, a deep three-dimensional (3D) conditional generative model is implemented that can synthesize high resolution 3D shapes using simple guides—such as coarse voxels, point clouds, etc.—by marrying implicit and explicit 3D representations into a hybrid 3D representation. The present approach may directly optimize for the reconstructed surface, allowing for the synthesis of finer geometric details with fewer artifacts. The systems and methods described herein may use a deformable tetrahedral grid that encodes a discretized signed distance function (SDF) and a differentiable marching tetrahedral layer that converts the implicit SDF representation to an explicit surface mesh representation. This combination allows joint optimization of the surface geometry and topology as well as generation of the hierarchy of subdivisions using reconstruction and adversarial losses defined explicitly on the surface mesh.

A 3D shape matching method and a 3D shape matching device based on 3D local feature description using SGHs are provided. In the method, the spherical neighborhood of the feature point is not only divided based on space but also divided based on geometry, the spherical neighborhood of the feature point is not only divided based on the radial direction and the azimuth respectively but also divided based on the elevation, and the spherical neighborhood of the feature point is not only divided based on the deviation angle deviating from the z axis but also divided based on the deviation angle deviating from the x axis. When the deviation angle deviating from the z axis of the spherical neighborhood is divided, the deviation angle is divided more densely where it is closer to the positive direction of the z axis.

To enable formation of appropriate coating film thickness on a coated object, when a worker manually performs coating.SOLUTION: A coating work management device 10 includes a measuring unit 120 for measuring a position and an attitude with respect to a coated surface 22 of a coating gun 100, and a coating work management unit 130 for calculating formed film thickness distribution. The coating work management unit 130 detects 3D data of a coated object, a distance between the coated surface and the coating gun, an inclination angle of the coating gun, and moving speed of the coating gun, and accurately calculates the film thickness distribution which is actually formed on the coated surface, on the basis of a model expression indicating a film thickness distribution pattern according to the shape of the coated surface in 3D shape data of the coated object. In a case in which operation of the coating gun by a worker is not normal, and in a case in which the film thickness distribution is in excessive or in shortage, appropriate work is assisted to be promoted by issuing an alarm to the worker during working.SELECTED DRAWING: Figure 2

The invention relates to the technical field of optical fiber communication device detection, and provides an optical fiber connector end face 3D shape detection method and system, and the method comprises the steps: obtaining a multi-step phase shift interference image sequence of an optical fiber connector end face; performing interface segmentation on the multi-step phase shift interference image sequence by adopting a fiber core boundary detection network based on radial gradient perception to obtain interface position data; based on the interface position data and the multi-step phase shift interference image sequence, performing phase unpacking by adopting a dual-coordinate system fusion phase unpacking algorithm to obtain initial phase data; performing global reconstruction on the initial phase data by adopting a regional confidence coefficient weighted reconstruction algorithm to obtain global phase field data; performing spherical parameter fitting on the global phase field data by adopting an IEC (International Electrotechnical Commission) standard constraint hierarchical particle swarm optimization algorithm to obtain spherical geometric parameters; and generating a 3D shape detection result of the end face of the optical fiber connector according to the spherical geometric parameters. According to the invention, the precision and reliability of 3D shape detection of the end face of the optical fiber connector are improved.

A computer-implemented method, computing device, system and computer program product for assisting positioning of a tool (5) with respect to a specific body part (202) of a patient (200) comprising: receiving intraoperative imaging data (ID) comprising 2D images capturing the specific body part (202) from a plurality of perspectives and 2D image(s) capturing at least a part of the tool (5) from at least one perspective; reconstructing an anatomical 3D shape (AS) of the specific body part (202) using an artificial-intelligence based algorithm corresponding to the specific body part (202) based on the intraoperative imaging data (ID) and data indicative of perspectives of 2D images; estimating a current position (5c) of the tool (5) with respect to the anatomical 3D shape (AS) based on the intraoperative imaging data (ID); and generating positioning guidance data (GD) comprising the estimated current position (5c) of the

A method of measuring a 3D shape of an object comprising a target semi-transparent surface, the method comprising the steps of: with a projector, projecting a first light signal having a predetermined pattern and a predetermined frequency from at least one projector column towards at least one location on a scene; with an image capture device, receiving a second light signal from the at least one location of the scene at an image capture device pixel; measuring an intensity signal received at the image capture device pixel; with the measured intensity signal, generating a correspondence map between the at least one projector column illuminating the at least one location of the scene and the image capture device pixel with coordinates receiving the light signal from the at least one location of the scene; and with the correspondence map, determining 3D coordinates of the at least one location of the scene.

A modeling system stores a three-dimensional (3D) virtual object that corresponds to a real-world object, the 3D virtual object including a superimposition of an image area showing a portion of the real-world object on a face of a 3D shape. The modeling system stores a virtual reset that includes information about the 3D virtual object and a position of the 3D virtual object in the virtual reset. The modeling system presents the virtual reset, the presentation showing the 3D virtual object at the position.

The invention discloses a numerical control machining process generation method based on a PVFNN neural network, and the method mainly comprises the steps: 1) data preprocessing: collecting and processing the 3D shape, material and quality information of a part; 2) constructing and segmenting a data set to form a training, verification and test set; 3) constructing a PVFNN neural network model, integrating a 3D convolutional neural network, a point cloud neural network and a full connection network, and realizing feature fusion through a feature fusion layer and an MLP; 4) performing model training and verification, using a training set to train the model, and using a test set to evaluate performance; 5) process generation: performing model processing on new part information to generate a processing process; the method is used for automatically learning the capability of the discrete manufacturing process from design and manufacturing data, the accuracy and efficiency of numerical control machining process generation are improved, and the problem that in the prior art, due to the influence of manufacturing process capability knowledge and manufacturing experience, a user often cannot select the optimal manufacturing process is solved.