26 results about "Three Dimensional Size" patented technology

The present invention relates to the technical field of industrial process control and detection. Disclosed is a method for real-time measurement of length-width size distribution of a crystal population in a crystallization reactor using binocular telecentric cameras. In-situ environment calibration is performed for a binocular telecentric stereo vision system, a calibration rod capable of probing into an in-situ environment (a reactor / glass tube) is designed, a binocular telecentric stereo vision imaging model is established, and a simple calibration method of rotating the calibration rod suitable for an in-situ limited space and a calibration plate design scheme are proposed. In order to improve binocular matching efficiency, a simplified telecentric stereo epipolar rectification method is further provided, so as to ensure accurate matching of on-site snapshot image pairs. On the basis of the matched image pairs, a three-dimensional reconstruction method using analytical solution-based ray intersection is provided to measure the three-dimensional pose of particles within a crystallizer. Finally, the three-dimensional length and width of a crystal are quantitatively evaluated by means of statistical data of Euclidean distances of pairs of length and width feature points of the crystal. The present invention has high operability, and can achieve the effect of automatically measuring the three-dimensional size of crystals.

This invention discloses a multi-vision method for measuring the dimensions of small workpieces based on a binocular vision system, belonging to the field of workpiece dimension measurement technology. Addressing the difficulty in achieving accurate three-dimensional dimension measurement using existing methods, the following solution is proposed, comprising the following steps: S1: Chessboard corner point extraction; S2: Calibration plate removal; S3: Plane fitting; S4: Vertex extraction; S5: Stereo matching algorithm; S6: Dimension calculation. The average absolute error of this invention at different angles is 0.33 mm, the total relative error is 0.90%, and the variance is less than 0.01 mm. 2 This enables relatively accurate measurement of the three-dimensional dimensions of small workpieces from multiple perspectives.

The invention relates to the technical field of computer vision, e-commerce and artificial intelligence, and discloses a computer vision-based online clothing size intelligent matching and fitting degree prediction method, which comprises the following steps of: firstly, reconstructing a high-precision three-dimensional human body model by processing an image uploaded by a user; meanwhile, three-dimensional sizes and physical attributes are deconstructed from a clothing commodity graph, then, a physical simulation engine is utilized to dynamically wear a clothing model on a user model for virtual fitting, the wearing effect is truly restored by simulating physical effects such as gravity and collision, quantitative fitting indexes such as tightness and oppression are calculated after simulation, and the fitting quality is improved. And based on multi-objective optimization, scoring different sizes, recommending an optimal size, and generating a visual report containing the 3D effect picture and the fitness thermodynamic diagram. According to the invention, automation and precision from the image to fitting degree prediction are realized, the problem of online clothes purchase size selection is effectively solved, the user experience is significantly improved, and the return rate is reduced.

The invention provides a floor template accurate measurement method based on unmanned aerial vehicle photography. The method comprises the following steps: step 1, floor template scene image acquisition and image preprocessing; 2, sparse point clouds and dense point clouds of the floor template scene are generated; 3, extracting a building contour boundary, and segmenting and extracting a single template point cloud; and 4, calculating the three-dimensional size of the template based on plane fitting optimized by a sparrow search algorithm. According to the method, the 3D GS technology is adopted to overcome the reconstruction defect of a traditional MVS in a weak texture area, the problem of complex background interference is solved through multi-feature collaborative segmentation, adaptive adjustment of plane fitting parameters is achieved through an intelligent optimization algorithm, accurate measurement of the plane size and depth of the template is achieved, and the method is suitable for large-scale popularization and application. And the automation degree of floor template measurement is obviously improved.

The invention discloses a shoe manufacturing method and system, and the method comprises the steps: obtaining the foot three-dimensional size data of a target user, the foot three-dimensional size data of the target user comprises the foot length of the target user, the foot width of the target user, and the foot height of the target user; determining a target shoe tree corresponding to the foot three-dimensional size data based on the foot three-dimensional size data and a target shoe type selected by the target user; based on the foot three-dimensional size data and the three-dimensional size data of the target shoe tree, determining a target foot mold shoe tree corresponding to the foot three-dimensional size data; determining shoe parts related to the target foot mold last; in response to the target shoe component selected by the target user, generating an order for making the target shoe; and splitting the order to obtain a plurality of sub-orders, and distributing the plurality of sub-orders to manufacturers corresponding to the target shoe parts. According to the scheme, foot-fitting and personalized services can be provided for the target user, and more foot-fitting shoes can be provided for the target user.

The invention belongs to the technical field of target detection, and provides a monocular three-dimensional target detection method and system based on a nested reasoning chain, and the method comprises the steps: obtaining a monocular image, and extracting feature representation based on the monocular image; the method comprises the following steps: constructing a multi-stage nested reasoning chain based on feature representation, sequentially predicting a three-dimensional size parameter, a space orientation parameter and a space depth parameter of a target step by step according to a preset geometric dependency relationship, and dynamically aggregating intermediate features generated in each reasoning stage in the multi-stage nested reasoning chain to obtain a multi-stage nested reasoning chain; the fused feature representation is obtained; combining the fused feature representation with the original context information of the monocular image by using an error correction mechanism, and correcting an intermediate prediction result to suppress error propagation; and obtaining a three-dimensional detection result of the target based on the corrected prediction result. According to the method, the geometric consistency, accuracy and robustness of the monocular three-dimensional target detection result are improved.

The invention relates to the technical field of three-dimensional size measurement of a battery pole plate flow channel, in particular to a three-dimensional size measurement method of a fuel battery pole plate flow channel, which comprises the following steps of: (1) performing three-dimensional scanning to obtain a point cloud p; (2) performing plane correction on the point cloud to obtain a point cloud; (3) converting the point cloud into a depth map D (x, y) and normalizing and enhancing the depth map D (x, y) into D '(x, y); the method comprises the steps of (1) obtaining a depth map D '(x, y), (2) enhancing the depth map D' (x, y), (3) carrying out flow channel / ridge segmentation on the enhanced depth map D '(x, y), (4) carrying out edge detection and section extraction to obtain a flow channel / ridge region, and (6) respectively calculating the width / depth and ridge width of the flow channel by combining the values of the flow channel / ridge region, and carrying out statistical output.

1. Name of the product in this design: Line Laser 3D Camera. 2. Purpose of this design: For the three-dimensional measurement and defect detection of industrial parts. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A system is provided.SOLUTION: A system comprising: measuring means for measuring an object in three dimensions; transmitting means for transmitting measurement data acquired by the measuring means; generating means for generating three dimensional data based on the received measurement data; and providing means for providing the generated three dimensional data to a user.SELECTED DRAWING: Figure 1

The invention provides a dispensing method. The dispensing method comprises the steps that a dispensing area of a workpiece is determined; measuring three-dimensional size coordinates of the dispensing area, and generating a color point cloud picture of the dispensing area; flexibly fitting a three-dimensional space plane of the dispensing area based on the three-dimensional size coordinates of the dispensing area and the color point cloud picture; calculating the three-dimensional fitting average size of the dispensing area based on the three-dimensional space plane of the dispensing area; according to the three-dimensional fitting average size of the dispensing area, the glue path height of the dispensing area is determined, and the glue path width of the dispensing area is calculated; based on the glue path height and the glue path width of the glue dispensing area, the glue weight and the glue dispensing speed are determined; and dispensing the dispensing area of the workpiece based on the glue weight and the dispensing speed. According to the adhesive dispensing method, different adhesive path heights and adhesive path widths can be obtained for different adhesive dispensing areas, so that the phenomena of adhesive overflow and adhesive shortage of the adhesive dispensing areas of the workpiece after adhesive dispensing are avoided, and the adhesive dispensing precision is improved. The invention further provides a dispensing system.

The invention relates to a method and system for inverting the three-dimensional size of a stratum fracture based on water attack data, and the method comprises the steps: introducing a fracture closing pressure drop equation for describing the internal pressure attenuation of the fracture, outputting the fracture closing pressure drop equation, and enabling the fracture closing pressure drop equation to serve as a time-varying boundary condition of a water attack dynamic equation set for describing pressure fluctuation, thereby constructing a coupling model; and an input variable in the coupling model is automatically adjusted by using a global optimization algorithm, so that a simulated pressure curve output by the model and actually measured water attack data are optimally fitted, and finally, the three-dimensional size of the crack is analyzed from optimal parameters. According to the method, the crack closing pressure drop equation is introduced into the coupling model to reflect the influence on the pressure drop in the crack dynamic closing process, so that the simulation of the pressure drop in the water attack process can be realized under the condition that the friction coefficient is not artificially increased or a new independent variable is not introduced. According to the method, the three-dimensional size of the stratum fracture after hydrofracture can be quickly inverted, and the hydrofracture evaluation and diagnosis method with low cost is provided.

The invention provides an aero-engine component key defect three-dimensional size quantification method and system, and the method comprises the steps: collecting a video sequence when a monocular endoscope moves in an engine, inputting the video sequence with continuous frames into a depth estimation network and a pose estimation network, obtaining a single-frame image depth map and inter-frame pose transformation respectively; calculating luminosity re-projection loss according to the single-frame image depth map and inter-frame pose transformation; deriving a surface normal graph based on the depth map of the single-frame image, generating a composite image through a differentiable physical renderer in combination with the predicted reflectivity graph and light source parameters, and calculating physical rendering loss; and taking the weighted sum of the luminosity reprojection loss and the physical rendering loss as a total loss function, and performing forward propagation on a new input image based on the trained depth estimation network to obtain a depth map. According to the method, a real 3D label is not needed, strong reflection and illumination interference can be overcome, and high-precision three-dimensional size quantification can be realized only through a single hole detector video stream.

The application provides a biological model construction method and device, electronic equipment and storage medium, which are used for improving the problem that the accuracy of obtaining a biological model is low. The method comprises the following steps: acquiring a plurality of grid topologies, the plurality of grid topologies are obtained by three-dimensional scanning and modeling of a real biological part, and any two of the plurality of grid topologies have different postures and shapes; acquiring a template topology, and performing normalized alignment on the postures and scales of the plurality of grid topologies according to the template topology to obtain a plurality of shape topologies with the same posture and scale; performing average value calculation on the plurality of shape topologies to obtain a mean value topology, and extracting a feature vector of each shape topology in the plurality of shape topologies to obtain a plurality of feature vectors; and constructing a parameterized biological model according to the mean value topology and the plurality of feature vectors.

The application discloses a labeling method and device, and belongs to the field of power station surveying. The labeling method comprises the following steps: acquiring a plurality of video frames corresponding to a to-be-labeled object under a plurality of perspectives, wherein the plurality of perspectives correspond to the plurality of video frames one by one; determining a first three-dimensional size corresponding to the to-be-labeled object based on a proportional relationship of an image corresponding to a target video frame in the plurality of video frames being mapped to an actual space; the first three-dimensional size corresponds to the target video frame, and the proportional relationship of the image being mapped to the actual space is a proportional relationship of the image of the to-be-labeled object in a target dimension being mapped to the actual space; and determining a target three-dimensional size of the to-be-labeled object based on a mean value of a plurality of first three-dimensional sizes corresponding to the plurality of video frames. The labeling method can acquire the three-dimensional size of the to-be-labeled object under multiple perspectives, improves the labeling precision and accuracy, and solves the problem of large measurement error of an object far away or close to a horizon under single perspective.

The invention provides a design method of an airplane cabin shape. The design method comprises the following steps: step 1, establishing a cabin coordinate system; 2, defining a quadratic curve under a cabin coordinate system; 3, according to the internal arrangement condition of the aircraft cabin, the cabin appearance three-dimensional size constraint is determined; step 4, taking a nose coordinate origin as a maximum half-width control curve starting point, taking a nose rotating body longitudinal cut-off position control line as a first longitudinal reference line, and taking a propeller tail disc control line as a second longitudinal reference line; 5, under the cabin coordinate system, according to the cabin appearance three-dimensional size constraint, the first longitudinal reference line and the second longitudinal reference line, determining control point positions (x, y, z); step 6, establishing a longitudinal control curve, wherein the longitudinal control curve comprises a width control curve and a height control curve; step 7, establishing a sweeping curve according to the longitudinal control curve; 8, at least two sweeping curved surfaces are established, and all the sweeping curved surfaces form the appearance of the aircraft cabin.

The present disclosure relates to a system and method for automatically determining a three dimensional size of an item. The system may include an optical sensor scanning a surface of the item being transported on a conveyor spaced apart from the optical sensor by a conveyor distance, the surface including a standard size element having a first dimension. The system may also include a memory storing the first dimension and the conveyor distance. The system may also include a processor configured to calculate a second dimension of the surface based on a scanned image of the surface and a scanned image of the standard size element and the stored first dimension. The processor may obtain an item distance between the optical sensor and the surface and determine a height of the item based on the obtained item distance and the stored conveyor distance.

This invention proposes a method for acquiring 3D information of randomly oriented packaged cartons. The method improves the quality of point cloud data through preprocessing techniques such as point cloud denoising, downsampling, and plane removal, and compares the number of point clouds before and after denoising. Through multi-view registration, interactive segmentation, and OBB bounding box modeling, effective extraction of point clouds from individual cartons and accurate acquisition of 3D dimensional information such as length, width, and height are achieved. This research provides crucial data support for subsequent robotic arm grasping path planning, palletizing action execution, and system simulation verification.

The application discloses a high-strength steel welding defect nondestructive detection and recognition method based on multi-modal data fusion, which comprises the following steps: welding data acquisition: acquiring two-dimensional images and three-dimensional point cloud data of a high-strength steel welding position to form a data pair; data space alignment: generating a space-aligned image-depth map data pair; feature extraction and fusion: obtaining fusion features with spatial geometric information and two-dimensional visual information through feature extraction and fusion; defect recognition and classification: recognizing defect pixels, decoding and restoring defect region spatial information, calculating the three-dimensional size of the defect, and taking the feature information and three-dimensional size associated with each defect pixel connected domain as input, and automatically classifying the defect category through a pre-trained full connection neural network classifier. The application can accurately recognize and accurately quantitatively analyze high-strength steel welding defects.

Method for determining three-dimensional extent information of a target object (2, 12, 22), in particular a vehicle, from a two-dimensional camera image (1, 11, 21) showing the target object (2, 12, 22), which is recorded with a camera (39) that is intrinsically and extrinsically calibrated with respect to an ego-object, in particular a motor vehicle (38), carrying the camera (39), wherein the three-dimensional extent information is derived from ground information about the three-dimensional position of the ground plane (30) under the target object (2, 12, 22) relative to the camera (39) and from two-dimensional evaluation information describing at least one rectangle (4, 14, 24) enclosing the target object (2, 12, 22) in the camera image (1, 11, 21) determined by evaluation of the camera image (1, 11, 21) using an evaluation algorithm. is determined, whereby - as part of the evaluation information, additional orientation information indicating the orientation of the target object (2, 12, 22) for at least one vertically extending side of the target object (2, 12, 22) at its lower edge in the camera image (1, 11, 21), in particular an orientation line (6, 26) or an orientation point (16) depending on the image content of the camera image (1, 11, 21), is determined, and - for at least one computation point (31, 33, 35, 36, 37) of the camera image (1, 11, 21) determined by means of the orientation information and the rectangle (4, 14, 24), the three-dimensional position of an associated ground corner point lying on the ground plane (30) of a cuboid at least partially enclosing the target object (2, 12, 22) is determined using a recording geometry model of the camera (39) and the extent information is reconstructed from this as the cuboid at least partially enclosing the target object (2, 12, 22).

The invention relates to the technical field of detection equipment, in particular to a material shape size detection system and method. A material type laser measuring device is arranged in the system and comprises a measuring box, a detection channel is arranged in the middle of the measuring box, at least one set of three-dimensional laser sensors and two-dimensional image sensors are arranged around the detection channel in the measuring box, the measuring box is connected with a displacement mechanism, and the displacement mechanism, the three-dimensional laser sensors and the two-dimensional image sensors are in communication connection with an upper computer. The two-dimensional image sensor is used for acquiring a two-dimensional image of the surface of the material, quickly acquiring preliminary positioning information of a measured feature and providing the positioning information to the upper computer; the three-dimensional laser sensor is used for obtaining three-dimensional point cloud data of the measured features, accurately measuring the three-dimensional sizes of the measured features and transmitting the measured three-dimensional data to the upper computer. Two-dimensional image measurement and three-dimensional laser measurement are combined, high-precision three-dimensional dimensions can be obtained, and rapid positioning can be carried out through cooperation to achieve multi-data detection.

The invention discloses a metal brazing lap joint quality evaluation method, system and device and a storage medium, and the method comprises the steps: constructing a geometric model, which comprises the steps: obtaining the three-dimensional size of a to-be-lapped metal device, and building a three-dimensional equivalent model; material parameters of two kinds of to-be-lapped metal and brazing solder in the to-be-lapped metal equipment are obtained, and the brazing process is equivalent to a cubic structure with the same material attribute as the brazing solder; in the calculation simulation process, if the lap resistance obtained according to the radio frequency band is obviously higher than the corresponding reference lap resistance in the total requirements of equipment development, adjusting the structure of the to-be-lapped metal equipment; and according to the electrical size of the geometric model, selecting a corresponding electromagnetic algorithm, and further calculating the lapping impedance to reflect the lapping quality. According to the method, by simulating the lap joint quality condition of any two metal plates in the brazing process, the lap joint effectiveness between the two metal plates can be pre-judged in advance, then the process of lap joint between the metal plates through brazing is optimized, and the electromagnetic compatibility problem of equipment caused by poor contact between shells of the equipment is solved.

The invention provides a shaft workpiece surface integrity intelligent laser cladding grinding method and system. The preset crack depth value is the safe crack depth size, and when the crack depth of a certain defect is larger than the preset crack depth value, the workpiece can be judged to be scrapped. And the specific size and position of the defect can be judged according to the three-dimensional size information and the spatial position information of the defect, so that full-automatic and intelligent repair of the repaired part of the old workpiece is realized, and a traditional low-efficiency mode of depending on artificial experience judgment and manual repair is replaced. Through the linkage of in-situ fixed-point temperature control and subsequent grinding, the residual stress and the heat affected zone of a repairing area are effectively controlled, deformation or performance reduction caused by local overheating is prevented, the repairing quality and reliability are improved, and therefore efficient treatment of different types of workpieces through the same device is achieved, the universality and the flexible production capacity of equipment are improved, and the production efficiency is improved. And the equipment investment cost of multi-scene processing is reduced.

The application relates to a bin size measurement method based on monocular cooperation binocular vision, and specifically comprises the following steps: S1, construction of a measurement system; S2, setting of a target bin; S3, processing of binocular images; S4, processing of monocular images; S5, establishment of a height measurement model to measure the height of the target bin; S6, establishment of a length measurement model to measure the length of the target bin; and S7, establishment of a width measurement model to measure the width of the target bin. The application establishes the measurement models of the target bin in terms of length, width and height by introducing a preset included angle between the edge of the target bin and the image plane of the binocular camera, thereby calculating the accurate three-dimensional size of the target bin, automatically selecting the corresponding measurement model according to the size and coordinate position of the preset included angle, and realizing the measurement of the three-dimensional size of the target bin. The measurement precision of the measurement method can be greatly improved, and the application is particularly suitable for high-precision three-dimensional measurement of bins in the logistics industry.

The present application relates to the technical field of logistics, and discloses a logistics package size identification method, device, equipment and storage medium, the method comprising: acquiring a target double-view image of a target package, the target double-view image being a target top-view image and a target side-view image of the target package; inputting the target double-view image into a pre-trained three-dimensional size estimation model to obtain pixel size prediction values corresponding to the three-dimensional shape of the target package output by the model; determining a global conversion coefficient of the pixel size to the physical size in the double-view image; performing scale restoration on the pixel size prediction values based on the global conversion coefficient to obtain preliminary physical size prediction values of the target package; and checking and correcting the preliminary physical size prediction values based on a pre-defined physical constraint rule to obtain three-dimensional physical size prediction values of the target package. The present application solves the problems of large size identification error, low efficiency and high cost of logistics packages.

The application discloses a data processing method and device, electronic equipment and storage medium. The method comprises the following steps: acquiring first frame point cloud data collected by a collection device; identifying at least one obstacle in the first frame point cloud data; determining the first position of each obstacle relative to the collection device and the first three-dimensional size of each obstacle; for each obstacle, based on the first position of the corresponding obstacle and the first three-dimensional size of the corresponding obstacle, extracting relevant point cloud data from X frame point cloud data collected by the collection device; the X frame point cloud data contains the first frame point cloud data; the relevant point cloud data at least contains the point cloud data corresponding to the corresponding obstacle; performing slice processing on the extracted relevant point cloud data to obtain a slice result; and based on the slice result, redetermining the position of the corresponding obstacle relative to the collection device and the three-dimensional size of the corresponding obstacle to obtain a second position and a second three-dimensional size.

The invention discloses a data set construction and model training method and system for the physical form of the disabled, and the method achieves the high-precision ethical compliance data set construction through the multi-posture modular dummy physical simulation, high-density key point-surface deformation joint labeling, privacy anonymization mapping and balance data enhancement strategy. The method comprises the following steps: (1) regulating and controlling a multi-freedom dummy to generate an extreme posture and limb missing sample; (2) synchronously acquiring image, video and three-dimensional size data to form a multi-modal data packet; (3) mapping the three-dimensional data into a pixel-level dense label; (4) optimizing marking quality and balancing sample distribution, and constructing a training data set with strong robustness; and (5) training the incomplete figure estimation model by using distillation-curriculum learning. The scheme has the advantages of zero contact, wide coverage, high precision, low ethical risk and the like, and is suitable for data set generalization construction of the disabled assisting technology.