902 results about "Three dimensional shape" patented technology

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 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 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 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 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.

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.

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

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.

Provided are a method for predicting a product strain and a system thereof. A method for predicting a product strain according to one embodiment of the present disclosure is a method performed by a computing device, the method comprising the steps of: acquiring a three-dimensional shape model of a first product; preprocessing the three-dimensional shape model and generating graph data including nodes and edges; inputting an image dataset to a measurement model for predicting shape characteristics and physical property characteristics of an object, the image dataset being obtained by imaging, from multiple angles, the object manufactured on the basis of the three-dimensional shape model, and generating manufacturing data of the first product; comparing graph data and the manufacturing data for each node unit, and generating label data including strain data for each node unit; and fine-tuning a graph data-based graph node classification model by using a strain data set composed of pairs of the graph data and the label data. The step of generating the graph data may include the steps of: generating predictive precision reference information for each unit mesh included in the three-dimensional shape model by using the three-dimensional shape model of the first product and the manufacturing data of the first product; and according to the predictive precision reference information for each unit mesh, applying a first resolution to a first unit mesh that requires first predictive precision, and a second resolution to a second unit mesh that requires second predictive precision.

The embodiment of the invention provides a sea wave height determination method and device, a storage medium and electronic equipment, and the method comprises the steps: segmenting target point cloud data into a plurality of time sequence frames, and determining a wave crest region and a wave trough region of sea waves according to a local extreme point in the target point cloud data, each time sequence frame is used for indicating the sea surface shape at each moment; according to the wave crest area, the wave trough area and the multiple time sequence frames, a target sea wave contour model is fitted, and the target sea wave contour model is used for indicating the sea wave height and the three-dimensional shape of the sea wave at each time point; and determining the sea wave height at any time point based on the target sea wave contour model. According to the method, the problem that high-precision sea wave height data cannot be provided under complex sea conditions such as high storm waves and changeable tides in the prior art can be solved.

A plurality of images obtained by image capturing by a plurality of cameras and camera parameters are obtained, whether or not an object of interest exists within a depth of field of each camera is determined based on the camera parameters, and processing relating to shape data representing a three-dimensional shape of the object of interest is performed based on an image of the camera for which it has been determined that the object of interest exists within the depth of field.

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 discloses a rapid three-dimensional shape measurement method for multi-scale frequency shift fringe projection. According to the method, on the basis of the method described in the basic patent CN118936361B, a frequency reuse stripe pattern is constructed through multi-scale region division, and images under different frequencies are obtained by adopting a three-step phase shift strategy. And constructing a complex signal for each sub-block image, performing frequency domain transformation, fusing main frequency amplitude images in two directions, extracting a frequency domain main peak index and an amplitude based on a position invariant theorem, realizing spatial positioning of a direct illumination main component, and further completing homonymy point matching and three-dimensional reconstruction between pixels of a camera and a projector. According to the method, only 15 patterns are needed in each direction, compared with 484 patterns in each direction in a basic scheme, the pattern compression rate reaches 96.9%, and the method is suitable for high-speed three-dimensional reconstruction tasks under complex illumination and dynamic scenes and has the advantages of being small in pattern number, high in response speed and high in positioning robustness.

Provided is an in-vivo indwelling tool having a structure (2) in which a coil (10) with a longitudinal axis direction (x) is curved and a drug (50) is disposed on the surface, wherein the structure (2) has a first part (3) that is formed in a first three-dimensional shape and in which a portion of the coil (10) is curved, and a second part (4) that is formed in a second three-dimensional shape and in which a part of the coil (10) different from the first part (3) is curved in the longitudinal axis direction (x), and either the drug amount per unit length of the coil (10) in the second part (4) is less than the drug amount per unit length of the coil (10) in the first part (3), or the drug (50) is not disposed in the second part (4).

A surface shape measuring device measures the three-dimensional shape of a measurement surface in an object to be measured shaped as a rotating body or an approximate rotating body. The surface shape measuring device includes: a rotary table that rotates the object to be measured; an encoder that sequentially outputs signals according to the rotation angle of the rotary table; an optical sectioning sensor that irradiates light onto the measurement surface and acquires a plurality of optical section line image data by sequentially capturing optical section lines generated by the irradiated light, which move across the measurement surface as the rotary table rotates, triggered by a signal output from the encoder; and an image processing unit that generates an image showing the surface shape of the measurement surface by sequentially arranging the respective optical section line image data according to the corresponding rotation angle.

The present invention relates to a glass ceramic having a three-dimensional shape including plural R-shapes including a smallest R-shape whose average radius of curvature is 5.0×102 mm or less and a largest R-shape whose average radius of curvature is 1.0×103 mm or more, having a maximum value of retardations of 20 nm / mm or less, and having a haze value converted into a value corresponding to a thickness of 0.8 mm of 1.0% or less in the largest R-shape.

A portable container and dispenser includes a container capable of holding a solid or a liquid and a detachable lid. The container includes a unitary body including a three-dimensional shape, an interior, hollow storage cavity, a first opening, a first lid docking station, and a grab handle. The first opening is disposed on the outer surface of the unitary body and provides access to the storage cavity. The first lid docking station is disposed adjacent to the first opening. The detachable lid is configured to be removably secured to the unitary body at the first lid docking station, which is configured to retainably accept the detachable lid.

Deep learning is performed by using a material of a processing object, a laser beam parameter showing a property of laser beam which the processing object is irradiated with, and pre-processed part data and post-processed part data that respectively reflect laser processing-involved three-dimensional shapes of a processed part before and after irradiation of the processing object with the laser beam. A first relationship of input data that are the material of the processing object, the pre-processed part data, and the laser beam parameter to output data that is the post-processed part data after irradiation with the laser beam in relation to the input data is accordingly obtained as one learning result.

A processing method is a processing method for processing a processing target object held by a holding tool, and acquires holding tool information related to a position of a reference part of the holding tool placed in the processing apparatus, in a processing coordinate system; sets the holding tool in a measurement apparatus; acquires, by using the measurement apparatus, measurement information including information related to a three-dimensional shape of the processing target object in a measurement coordinate system and information related to a position of the reference part in the measurement coordinate system; generates processing path information based on the measurement information and the holding tool information; places the holding tool, which has been taken out of the measurement apparatus, in the processing apparatus; and processes the processing target object on the holding tool placed in the processing apparatus based on the processing path information.

To provide an evaluation device capable of determining necessity of repair of a ring joint groove according to the state of the ring joint groove formed on a flange surface.SOLUTION: An evaluation device comprises: an acquisition section for acquiring first three-dimensional shape data of a ring joint type flange; and an evaluation section for evaluating a state of a ring joint groove formed on a flange surface of a flange on the basis of the first three-dimensional shape data. The evaluation section includes: a shape measurement section for measuring multiple first shape parameters regarding the shape of the ring joint groove; a detection section for detecting a flaw generated in an object area of the ring joint groove; a strain amount measurement section for measuring a first strain amount of a first contact surface of the ring joint groove on which a ring joint gasket abuts; and a determination section for determining necessity of repair of the ring joint groove on the basis of at least one of the multiple first shape parameters, the flaw, and the first strain amount.SELECTED DRAWING: Figure 19

The present invention relates to the field of automated identification technology, and specifically discloses an adaptive deformation correction and identification system for flexible curved barcodes. By real-time monitoring of the three-dimensional shape changes and strain distribution of the barcode area on the flexible surface, the system can accurately capture complex deformation situations, and utilizes a K-means clustering algorithm to calculate curvature eigenvalues, and Haar wavelet transform to analyze strain data to determine deformation eigenvalues, thereby comprehensively evaluating the degree of deformation of the barcode and its impact on the identification process. Based on these eigenvalues, a random forest model is constructed to predict the degree of deformation and output a deformation score to ensure high-precision identification. When severe, uncorrectable deformation is detected, the system automatically triggers an alarm mechanism, including an audible alarm, a visual signal, and a network notification, to promptly inform management personnel and ensure the stability and long-term reliability of the system.