1083 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.

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.

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.

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.

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.

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.

The information processing apparatus generates three-dimensional shape data representing a three-dimensional shape of a first object by using a plurality of images obtained by a plurality of imaging apparatuses capturing the first object. The information processing apparatus estimates a size of the first object by using the three-dimensional shape data. The information processing apparatus specifies a position of a second object that is captured by the plurality of imaging apparatuses based on results of a comparison between the estimated size of the first object and a predetermined reference value.

[Solution] A shape measurement device for acquiring a plurality of surface images while scanning a surface of a plate-shaped measurement object 1 and measuring a shape of the measurement object 1 includes: an imaging system 10 that irradiates the measurement object 1 with parallel light and acquires the surface image; a stage system 30 that holds the measurement object 1 and adjusts an attitude of the measurement object 1 with respect to the imaging system 10; and a control device 20. The control device 20 includes: an attitude adjustment unit 21 that controls the imaging system 10 and the stage system 30 to scan the surface while adjusting the attitude to obtain a plurality of surface images; and an image processing unit 22 that generates a restored model of a three-dimensional shape of the measurement object 1 from the plurality of acquired surface images. When acquiring the surface image, the attitude adjustment unit 21 adjusts the attitude so that an angle of incidence of the parallel light onto the surface falls within a predetermined range. According to the shape measurement device, it is possible to measure the shape of a plate-shaped measurement object, particularly a notch portion of a wafer having a complicated shape, with higher accuracy.

To provide a system for a work machine capable of improving the accuracy of recognizing object-related situations.SOLUTION: A system for a work machine related to an embodiment of the disclosure includes: a spatial recognition unit that is capable of measuring the three-dimensional shape of a target that exists around the work machine; and a controller that is configured to complement the three-dimensional shape of the area not measured by the spatial recognition unit in the object on the basis of the three-dimensional shape included in the measurement information measured by the spatial recognition unit at least some of the area of the object.SELECTED DRAWING: Figure 4

The invention relates to the technical field of automatic identification, and particularly discloses a self-adaptive deformation correction and identification system for a flexible curved surface bar code, which can accurately capture a complex deformation condition by monitoring the three-dimensional shape change and strain distribution of a bar code area on a flexible surface in real time, and can calculate a curvature characteristic value by using a K-means clustering algorithm, so as to realize the self-adaptive deformation correction and identification of the flexible curved surface bar code. Strain data are analyzed through Haar wavelet transform to determine deformation characteristic values, so that the deformation degree of the bar code and the influence of the deformation degree on the recognition process are comprehensively evaluated, a random forest model is constructed based on the characteristic values for deformation degree prediction and deformation score output, high-precision recognition is ensured, and when uncorrectable serious deformation is detected, the recognition accuracy is improved. The system automatically triggers an alarm mechanism, including sound alarm, visual signal and network notification, to inform management personnel in time, so that the stability and long-term reliability of the system are guaranteed.

A shape estimation apparatus estimates, based on captured images obtained by capturing an object from different directions using a plurality of image capturing apparatuses, a first element group representing a three-dimensional shape of the object, determines whether to delete elements from the first element group, and generates a second element group by deleting the elements from the first element group. With respect to a first element among elements forming a surface of the shape represented by the first element group, if a distance between the first element and a second element corresponding to a position at which a straight line connecting the first element and the image capturing apparatus that has captured the first element intersects the surface does not exceed a predetermined threshold, the first element is excluded from a deletion target.

The invention relates to the field of smart home, in particular to an intelligent furniture damage detection method, which adopts a multi-modal feature fusion method based on double bidirectional interaction, dynamically weights local features, balances the local features of point clouds, and performs two-dimensional-three-dimensional cross-dimensional feature bidirectional interaction on furniture point clouds and RGB (red, green and blue) images, so that the furniture damage detection accuracy is improved. Through bidirectional cross attention and selective combination of interested point cloud region features, on the basis of highlighting the color and three-dimensional shape of furniture, color and shape information is fully fused and interacted, more comprehensive feature representation is realized, and the accuracy of crack and damage detection is improved; according to the method, through combination of continuous integers and sparse pulses, the traditional quantization error problem is solved, the precision is maintained while the detection efficiency is improved, end-to-end optimization from image enhancement to efficient detection is realized, and through dynamic fusion of multi-scale two-dimensional features, the method adapts to cracks in different forms, and the crack detection capability is improved.

A lyophilization container includes a first section having a first layer, a second layer aligned with the first layer, and a cavity defined by the alignment of the first and second layers, where at least one of the first and second layers is preformed to have a three-dimensional shape. A lyophilization fixture includes a base member and a lid member. The lid member is movable between a first position and a second position relative to the base member. The base member and lid member together define a housing that receives at least a portion of a lyophilization container.

The invention relates to the technical field of panoramic morphology and deformation measurement, and particularly discloses a multi-view digital image correlation measurement method based on a mirror-assisted full surface, and the method comprises the steps: arranging and configuring a novel mirror-assisted multi-view digital image system of an optical structure; samples and calibration image pairs of a tested sample in a mirror surface and a prism before and after deformation are collected based on a system, system imaging parameters are calibrated based on the calibration image pairs, and a virtual curved surface, the three-dimensional shape of the mirror surface and three-dimensional coordinates of a real point and a virtual point of a calibration plate are reconstructed. And calculating the reconstructed data points to obtain a reflection transformation matrix of the mirror surface and the prism pair, and reflecting the virtual surface to a corresponding real position based on the matrix to obtain the panoramic contour of the tested sample in the initial and deformation states. And synchronous high-definition images of samples at different field depths can be obtained, and dynamic high-precision three-dimensional deformation and contour measurement of object parts in different field depth ranges can be realized.