1573 results about "Three dimensional shape" patented technology

The invention relates to an intelligent garbage sorting method based on multi-modal recognition. The method comprises the following steps that S1, three-dimensional shape information and material information of objects on a conveying belt are captured; s2, preprocessing the acquired image data and sensor data; s3, based on the preprocessed image data and sensor data, generating a unified bounding box and a classification result based on a Hybrid Net model; s4, based on a bounding box and a classification result output by the Hybrid Net model, a discrete PID algorithm is adopted to calculate a motion instruction, a depth sensor is utilized to calculate three-dimensional point cloud data of an object, the stacking layer number of the position where the object is located is judged, a surface layer object is grabbed preferentially, and an initial grabbing path based on a position error and a stacking priority is generated; and S5, on the basis of the initial grabbing path, DQN deep reinforcement learning is used to optimize the initial grabbing path into an optimal grabbing path. According to the method, the grabbing optimization problem of the robot in a dynamic environment (such as stacking and obstacle interference) is effectively solved.

An object is to output data with which it is possible to generate a virtual viewpoint image of high image quality while suppressing the amount of data. The information processing apparatus according to the present disclosure obtains virtual viewpoint information for identifying a position of a virtual viewpoint and a line-of-sight direction from the virtual viewpoint, generates color information for an element configuring three-dimensional shape data for identifying a three-dimensional shape of an object based on the virtual viewpoint information and a plurality of images captured from a plurality of imaging devices, and outputs the three-dimensional shape data and the color information.

The invention relates to the technical field of curtain walls, and discloses a measuring device for processing a hyperbolic aluminum plate. Comprising a detection truss body used for providing a movable supporting structure; the laser detection instrument is mounted on the detection truss body and is used for performing three-dimensional scanning on the hyperbolic aluminum plate and generating point cloud data; the reference correction instrument is used for calibrating and detecting the reference position of the truss body; the control module is used for scanning a ground plane reference corresponding to the measuring device for machining through a reference correction instrument, and obtaining an X-axis deviation value and a Y-axis deviation value of the detection truss body and the ground plane reference and a Z-axis deviation value corresponding to the detection truss body; according to the X-axis deviation value, the Y-axis deviation value and the Z-axis deviation value, a reference correction instrument is controlled to calibrate and detect the reference position of the truss body; and controlling the laser detection instrument to walk according to a preset path, executing a scanning program to generate a three-dimensional format file, and performing fitting comparison on the three-dimensional format file and a design model corresponding to the hyperbolic aluminum plate to complete three-dimensional shape detection of the hyperbolic aluminum plate.

An electronic device is disclosed. The electronic device comprises an image acquisition unit configured to acquire medical images captured at a plurality of positions, and a processor configured to generate tree structure data of three-dimensional candidate points corresponding to points along center lines of blood vessel regions of a reference image and a sub-image of the medical images, determine a three-dimensional path based on the tree structure data, determine a three-dimensional diameter for each of the points on the three-dimensional path, and reconstruct the three-dimensional shape of the blood vessels corresponding to the three-dimensional path based on the determined three-dimensional diameter.

Provided is a method for determining a plane in three-dimensional shape to obtain precise size information of an aneurysm. The method includes generating an aneurysm region including: generating a vessel mesh; obtaining at least one input point; generating a separating plane based on the at least one input point; and generating the aneurysm region based on the separating plane.

The invention provides an underwater multi-view three-dimensional reconstruction method. The underwater multi-view three-dimensional reconstruction method mainly comprises the following steps: S1, acquiring a high-quality multi-view underwater image through a physical perception image enhancement technology PUIE; s2, initializing a neural symbol distance function SDF, and implicitly representing the three-dimensional shape of an object by a neural network; s3, generating a two-dimensional foreground mask by using few-sample multi-view target segmentation, and obtaining three-dimensional geometric information in combination with monocular depth estimation and normal vector prediction to form mixed geometric prior; and S4, in combination with an image enhancement result and mixed geometric priori, through a joint loss function, training a neural network optimization SDF, and completing accurate three-dimensional reconstruction. According to the underwater three-dimensional reconstruction method, a more efficient and more accurate underwater three-dimensional reconstruction solution is provided by introducing mixed geometric prior and optimizing the reconstruction process of the neural symbol distance function SDF.

The invention discloses a tongue phase three-dimensional visual acquisition and reconstruction method, an acquisition instrument and a medium, and the method comprises the steps: obtaining the three-dimensional original point cloud data of a tongue body, and carrying out the preprocessing of the original point cloud data through a curvature-based adaptive filtering method; performing point cloud registration of the multi-view point cloud data by using a spherical hash-based point cloud registration algorithm; based on a greedy triangular reconstruction algorithm of normal vector consistency, constructing a triangular mesh model of the tongue body surface by gradually adding triangles meeting a normal vector consistency condition; and performing three-dimensional reconstruction of the tongue body based on the constructed triangular mesh model, and finally generating a three-dimensional shape of the tongue body. According to the method, through a greedy triangle reconstruction algorithm based on normal vector consistency, triangles meeting the normal vector consistency condition are gradually added, and the triangular mesh model of the tongue body surface is constructed. The reconstruction efficiency can be remarkably improved while high geometric accuracy is kept, and the method is suitable for fine reconstruction of the complex tongue body surface.

The invention discloses an optical fiber three-dimensional shape sensor based on an optical frequency domain reflection technology and an application method of the optical fiber three-dimensional shape sensor, the optical fiber three-dimensional shape sensor comprises a base material and more than three optical fibers, and all the optical fibers are spirally wound and fixed on the surface of the base material at equal intervals and constant screw pitches to form distributed sensing units; according to the application method, measurement signals of all the optical fibers are obtained, and axial strain and strain are calculated; calculating the total curvature vector of the reconstruction curve of the measured object; calculating a bending direction angle and a curvature of the reconstruction curve of the measured object; performing differential calculation on the bending direction angle to obtain the torsion rate of the reconstructed curve of the measured object; and reconstructing the three-dimensional shape of the measured object according to the curvature and the torsion of the reconstructed curve of the measured object. The invention aims to realize synchronous measurement of bending, torsion and axial strain by using a distributed sensing unit formed by a multi-fiber structure which is spirally wound at the same interval and at a constant screw pitch.

The invention discloses a skylight front and rear column foam automatic profiling attachment optimization method based on data modeling, and relates to the technical field of column foam attachment, and the method comprises the steps: obtaining a three-dimensional shape data set of a target skylight front and rear column under multiple view angles, and carrying out the denoising processing and coordinate conversion, and obtaining a skylight front and rear column shape space data set; carrying out three-dimensional reconstruction and grading optimization, and building a skylight front and rear column space model; performing profiling attachment simulation on the skylight front and rear column space model based on foam material information and thickness information according to a skylight foam attachment standard to generate a front and rear column foam attachment model; surface feature recognition and attachment path planning are carried out, and a target foam attachment path is determined; and executing the target foam attachment path and performing foam attachment monitoring through the automatic attachment equipment to obtain an attachment monitoring data stream, and introducing a closed-loop feedback mechanism to perform foam attachment optimization. The technical problem that in the prior art, the foam attaching precision is low is solved, and the technical effect of improving the foam attaching precision is achieved.

The invention relates to the technical field of intelligent traffic infrastructure detection, in particular to a road disease detection system and method based on multi-sensor fusion and a multi-modal large model, and the system comprises a multi-sensor fusion module which integrates various different types of sensors. The sensor comprises a visible light camera, a laser radar and a three-dimensional geological radar; synchronous acquisition of multi-dimensional data is realized through sensor layout and a data synchronization mechanism, the visible light camera is used for acquiring image information of a road surface, the laser radar is used for acquiring three-dimensional shape information of the road surface, and the three-dimensional geological radar is used for acquiring road roadbed structure disease information; the method has the beneficial effects that the multi-dimensional data of the road appearance and the underground structure are synchronously obtained through a multi-sensor fusion technology, and the alignment error of a multi-source data physical space is reduced, so that the precision of road disease detection is remarkably improved. The application of the multi-modal large model can identify different types of diseases more accurately, and reduces the false detection rate and the omission ratio.

A spatial bending method for a metal plate (300). The method comprises: acquiring a preset surface group, unfolding the preset surface group into a plane (500), and marking the position of a common boundary of adjacent curved surfaces, an included angle between the adjacent curved surfaces, and an edge contour of the plane; constructing a two-dimensional mesh surface (600); on the basis of the two-dimensional mesh surface, constructing a dynamic simulation, and performing three-dimensional shape prediction, so as to obtain a three-dimensional shape prediction result; on the basis of correspondences between motion paths of a mechanical arm and morphological changes of a metal plate during a bending process, the included angle, and the three-dimensional shape prediction result, obtaining a motion path of the mechanical arm; and on the basis of the motion path, performing spatial bending on the metal plate. A spatial bending apparatus for a metal plate. The apparatus comprises: an acquisition module, which is used for acquiring a preset surface group; a dynamic simulation module, which is used for constructing a dynamic simulation on the basis of a two-dimensional mesh surface; a calculation module, which is used for acquiring correspondences between motion paths of a mechanical arm and morphological changes of a metal plate during a bending process; and a control module, which is used for performing, on the basis of the motion path, spatial bending on the metal plate. An electronic device, comprising one or more processors, wherein the one or more processors implement a spatial bending method for a metal plate. A readable storage medium, wherein a spatial bending program for a metal plate is stored in the readable storage medium. By using the spatial bending method for a metal plate, the current technical routes where the bending of a metal plate must depend on a mold is abandoned, and whether the bending form of a metal plate meets requirements can be quickly inspected at the design stage.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: obtaining a design space, design criteria, and boundary conditions for numerical simulation; defining an application of the boundary conditions to a voxelized mesh, including specifying a distribution of a load to nodes of voxels in the voxelized mesh that correspond to a surface of preserve geometry; and iteratively modifying a generatively designed three dimensional shape in the design space in accordance with the design criteria and a physical response of the modeled object determined by the numerical simulation performed using the application of the boundary conditions to the voxelized mesh, wherein the distribution of the total loading value during determination of the physical response ensures an equivalence between the total loading value and a sum of loading values distributed to the respective nodes of the voxels that correspond to the surface.

An information processing system is provided. The system obtains three-dimensional models of one or more objects at a designated time from a storage that stores three-dimensional models indicating three-dimensional shapes of objects at respective times. The system, using the three-dimensional models of the one or more objects at the designated time, generates a virtual viewpoint image corresponding to the designated time from a virtual viewpoint based on a designated virtual viewpoint parameter. The system outputs the generated virtual viewpoint image. The system determines whether a predetermined condition is satisfied, the predetermined condition being a condition related to at least one of the time and the virtual viewpoint parameter. The system, in response to satisfaction of the predetermined condition, records information on the three-dimensional models of the objects corresponding to the generated virtual viewpoint image.

The invention provides a desktop digital human interactive studio method based on JavaFX, and the method comprises the steps: scanning the face of a real person through a depth camera, obtaining the three-dimensional shape data of a facial tissue, carrying out the subdivision and marking of the data through the combination of medical anatomical knowledge, and building a digital human face model which comprises the geometric shapes and texture features of lip, tongue and tooth facial tissue structures; establishing a tooth visibility control rule according to the mapping relation between the tongue position and the phoneme in the playing process, and dynamically adjusting the tooth visibility of the digital person in the playing process according to the tooth visibility parameter of the phoneme sequence, so that the tooth visibility change is matched with the characteristics of the real person in the playing process; and tracking the shape and texture features of the lip, tongue and tooth areas of the digital person in the playing process in real time, comparing the shape and texture features with target playing lip shape, tongue position and tooth visibility parameters, dynamically adjusting the parameters of the digital person face model, and performing cooperative control of lip, tongue and teeth in the playing process.

The invention provides a three-dimensional shape generation method, which comprises the following steps of: extracting condition characteristics of a two-dimensional image by using an image encoder; sampling an initial noise vector from the standard normal distribution based on the condition features; under the guidance of the condition features, the trained generative model generates potential representation based on the initial noise vector; a decoder of the trained 3D VAE model reconstructs a continuous field function according to the potential representation; and extracting a three-dimensional triangular mesh model from the continuous field function. The smoothness of the generated surface and the integrity of the three-dimensional structure can be realized by the 3D VAE model, so that the aims of eliminating stepped artifacts and broken thin shells are fulfilled.

A first model generated by deforming, based on the orientation of an object identified by a plurality of texture images representing a color of the object based on image capturing of a plurality of imaging devices, a base model stored in advance and representing the basic three-dimensional shape of the object is obtained. Further, a second model representing the three-dimensional shape of the object, which is generated based on a silhouette image based on image capturing of the plurality of imaging devices, is obtained. Then, an unnecessary element among elements configuring the second model is deleted based on a difference between the first model and the second model. Due to this, the accuracy of a three-dimensional model is improved.

The invention relates to a three-dimensional continuous shape estimation method and system for a flexible robot, and the method comprises the steps: combining the arc length of the flexible robot and an unknown external load from the environment with a Cosserat elastic rod model and a Cosserat elastic string model, so as to generate a Lie algebraic coupling statics model representing tendon driving; the method comprises the following steps of: acquiring an external load, modeling the external load into Gaussian process noise to construct a prior probability model so as to obtain prior probability distribution of the flexible robot in the Lie algebraic space, and constructing a measurement noise model in the Lie algebraic space according to discrete measurement poses and measurement noise captured by a sensor so as to obtain a predicted measurement value. And fusing the prior probability distribution and the predicted measurement value to obtain posterior shape estimation of the flexible robot and the robot, and calculating continuous three-dimensional shape estimation of the flexible robot and first credibility of the continuous three-dimensional shape estimation according to the posterior shape estimation and a Gaussian process interpolation method. Therefore, accurate sensing of the continuous three-dimensional shape of the flexible robot is realized.

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.

Manufacturing a pre-molded stack of one or more lenses to be installable on a curved substrate such as a vehicle windshield includes placing a moldable stack of one or more lenses and adhesive layer(s) on a mold, applying heat and pressure to the moldable stack to produce a pre-molded stack of one or more lenses from the moldable stack, and removing the pre-molded stack from the mold. The pre-molded stack may have a compound curvature, which may match a curvature of the curved substrate. The mold may be formed using three-dimensional shape data derived from the curved substrate, such as by optically scanning the curved substrate.

The invention provides an origami design method and system based on a diffusion model and a physical information neural network, and belongs to the technical field of origami structures, and the method comprises the steps: obtaining point cloud data of a target three-dimensional origami shape and corresponding text description information; according to the point cloud data and the text description information, generating a two-dimensional crease pattern by using a graph diffusion model, and ensuring that the crease pattern conforms to a specified three-dimensional shape by using conditional coding; and optimizing the two-dimensional fold pattern by adopting a physical information neural network to obtain a final two-dimensional origami graph. According to the method, the diffusion model and the physical constraint neural network are combined, high-precision modeling of the crease pattern is achieved, it is ensured that the generated pattern can be folded geometrically and physically, and therefore the design efficiency and accuracy are improved.

The invention discloses a phase ambiguity reduction method based on speckle auxiliary phase tracking, which can accurately correct the motion error in a phase shift image by adding a speckle pattern in a phase shift projection sequence and calculating the sub-pixel projection point displacement between a front frame and a rear frame by using a DIC algorithm, obviously improves the precision of three-dimensional measurement, and improves the accuracy of phase ambiguity reduction. The projection points of the phase shift image are aligned to the same camera coordinate through a remapping technology, so that the motion blur error is effectively reduced, the accuracy of a measurement result is ensured, the projection points are tracked instead of tracking the motion of an object, the motion error with z-direction displacement can be corrected, a wrapped phase diagram is obtained through a phase shift method, and the accuracy of the measurement result is improved. And phase unwrapping is carried out by combining a double-frequency order method and a constant geometric constraint method, so that the accuracy and continuity of phase unwrapping are ensured, and the three-dimensional shape of the object is reconstructed by utilizing a triangulation method.

The invention discloses a navigation method based on rtk laser vision fusion, and belongs to the field of map navigation, and the method comprises the following steps: S1, data acquisition, RTK data acquisition, and installation of RTK positioning equipment including a base station and a mobile station; the base station is arranged at a fixed point of a known accurate position and continuously transmits a signal containing position information; the mobile station is installed on a navigation carrier, receives base station signals and satellite signals and determines high-precision position coordinates and time information of the carrier, and the advantages of all the sensors can be brought into full play by fusing data of the RTK, the laser radar and the visual sensor, and the limitation of a single sensor is made up. High-precision absolute position information is provided through RTK, the laser radar accurately senses the three-dimensional shape and distance of an object, and the visual sensor identifies specific marks and textures. The fusion of the three can improve the estimation precision of the navigation system on the position, speed and direction, and reduce the positioning error.

The invention discloses a dynamic submarine cable three-dimensional reconstruction method and device, electronic equipment and a storage medium, which are used for solving the technical problem of failure of three-dimensional reconstruction of a dynamic cable caused by low shape sensing accuracy and stability of the dynamic submarine cable in the prior art. The method comprises the following steps: firstly, calculating a strain value of each fiber core in the multi-core optical fiber based on spectral drift, and performing characteristic curvature vector inverse solution by combining the strain value of each fiber core to obtain a discrete bending direction set and a discrete curvature set; respectively carrying out discrete fitting on the discrete bending direction set and the discrete curvature set until the bending direction and the optical fiber curvature at each position in the multi-core optical fiber are fitted; the optical fiber torsion is solved according to the bending direction, a space curve is solved based on the optical fiber curvature and the optical fiber torsion, and the space curve corresponds to the axis track of the multi-core optical fiber; and finally, performing three-dimensional reconstruction on the submarine cable according to the axis track to obtain the three-dimensional shape of the submarine cable.

The present invention provides crystallized glass of three-dimensional shape for easily producing chemically strengthened glass of three-dimensional shape that resists damage and has exceptional transparency. This crystallized glass of three-dimensional shape: contains crystals; has light transmittance in terms of a thickness of 0.8 mm of 80% or higher; and contains 45-74% SiO2, 1-30% Al2O3, 1-25% Li2O, 0-10% Na2O, 0-5% K2O, a total of 0-15% of SnO2 and / or ZrO2, and 0-12% P2O5, these amounts expressing the oxide-based mass percentage.

There is provided a conveyance seat that ensures decorativeness and that does not impair seating comfort of a seated occupant. A conveyance seat includes a bottom plate; a pad material disposed on the bottom plate; a skin material covering the bottom plate and the pad material; and a decorative member formed separately from the skin material, and attached to the skin material to be exposed on a surface of the seat. The decorative member has a three-dimensional shape, and an exposed surface of the decorative member exposed on the surface of the seat and a surface of the skin material are substantially flush with each other.

The invention discloses a mineral powder volume measuring and calculating method based on three-dimensional shape data analysis, and relates to the technical field of mineral powder volume measurement. The method comprises the following steps: carrying out mineral powder pile scanning based on a mineral powder pile scanning module, and collecting three-dimensional point cloud data; preprocessing the collected point cloud data based on a point cloud preprocessing module; reconstructing the preprocessed point cloud data by using a three-dimensional reconstruction algorithm based on a mineral powder three-dimensional structure model construction module; based on the volume calculation module, performing mineral powder volume calculation by using a volume calculation algorithm based on voxel representation; and analyzing a calculation result. The method has the beneficial effects that the method has high automation and accuracy, the automatic processing and analysis process reduces manual intervention, the measurement accuracy and reliability are improved, the deep learning algorithm is applied, the capability of data processing and complex structure analysis is optimized, the method is suitable for mineral powder of different shapes and sizes, and the method is suitable for large-scale popularization and application. The method can be popularized to other industries requiring accurate volume measurement and shape analysis.

In three-dimensional projective reverse transformation, a distance to a measured object is measured, and three-dimensional coordinate values of each point in the measured object corresponding to each of a plurality of pixels configuring an imaging sensor are calculated. In three-dimensional projective transformation, a three-dimensional shape of is a display object is set. Further, positions of a right side eye and a left side eye of a user with respect to a position of the display object are measured. A projected image or a projected movie corresponding to both eyes of the user is formed.

There is provided an information processing apparatus and method that enable to more easily achieve scalable decoding of point cloud data. In encoding of a point cloud representing an object having a three-dimensional shape as a set of points, control is performed so as to prohibit combined use of scalable encoding that is an encoding method for generating scalably decodable coded data and scaling encoding that is an encoding method involving a change in a tree structure of geometry data. The present disclosure can be applied to, for example, an information processing apparatus, an image processing apparatus, an encoding device, a decoding device, an electronic device, an information processing method, a program, or the like.