98 results about "Fiducial points" patented technology

Methods and systems are provided for authenticating an individual using a motion of a physiological structure. For example, an individual may be authenticated using their cardiac motion. A first radiofrequency (“RF”) signal is transmitted towards the physiological structure of the individual. A first RF return signal is received, where the first RF return signal corresponds to the transmitted first RF signal. The first RF signal and first RF return signal are processed to obtain a motion signal. One or more values are determined for each fiducial point of a set of pre-determined fiducial points in the motion signal. The set of pre-determined fiducial points corresponds to physical movements of the physiological structure. The individual is authenticated based on the values of one or more fiducial points.

This application provides a method, device, medium, and program product for determining the envelope region of reference points for parts. The method includes: obtaining the initial spatial coordinates of all reference points for a target type of parts; determining the first reference coordinates corresponding to all parts and the second reference coordinates corresponding to each part; then determining the offset of the initial spatial coordinates based on the first and second reference coordinates, and adjusting the initial spatial coordinates using the offset to obtain the corrected spatial coordinates of each part reference point; finally, combining the reference point types of all parts and the corrected spatial coordinates to determine the envelope region of all reference points for the target type of parts. This application's embodiment adjusts the initial spatial coordinates based on the offset of each part and calculates the envelope region of the part reference points based on the corrected spatial coordinates, achieving a part envelope region that approaches global optimum, significantly reducing the structural redundancy and development cost of part measurement supports.

The application discloses a medical image and physical space registration method and system based on automatic recognition of reference points and a system, and relates to the technical field of medical navigation. The method comprises the following steps: setting reference points which can be sensed in medical image space and physical space simultaneously; automatically recognizing and positioning the image space coordinates of the reference points in the medical image; obtaining the physical space coordinates of the reference points in the physical space; and automatically calculating the space transformation relationship between the image space and the physical space based on multiple sets of corresponding point coordinates. In the method, the positioning of the reference points in the image space adopts a multi-stage method from coarse to fine, candidate regions are extracted through coarse positioning, and a deep learning model is combined to obtain sub-pixel level three-dimensional coordinates. The application realizes full-automatic recognition and high-precision positioning of the reference points, does not require manual point selection, the registration accuracy can reach the sub-millimeter level, the calculation speed is fast, the application is suitable for intraoperative real-time navigation, and the accuracy and efficiency of minimally invasive interventional surgery can be significantly improved.

The utility model discloses an aircraft boarding bridge butt joint auxiliary device, the device includes longitudinal guide light source, sets up in the aircraft mouth below and sets up at least a group, is used for sending light and projects first alignment mark on the aircraft body surface, transverse guide light source, set up in the aircraft mouth top, is used for sending light and projects second alignment mark on the aircraft body surface, wherein, the aircraft mouth is provided with the reference point position corresponding with longitudinal guide light source position, longitudinal guide light source can move or set up multiple groups through drive part to adapt to different models, and the aircraft mouth is equipped with image acquisition module group. Through two -dimensional optical alignment of longitudinal and transverse light source, operator can complete once adjustment at 2m distance, realizes the accurate butt joint of boarding bridge and hatch, improves alignment efficiency and accuracy, enhances low energy visibility environment adaptability, is applicable to the quick butt joint scene of various aircraft boarding bridge.

This invention relates to a method, apparatus, equipment, and storage medium for collaborative control of laser marking on production lines. The method includes acquiring a synchronization pulse signal synchronized with the production line displacement; triggering an image acquisition device to capture a motion image of the target workpiece using the synchronization pulse signal; identifying and calculating the positional offset between the real-time position of the workpiece and a preset marking reference point in the motion image; performing synchronous translation transformation on all coordinate points in a pre-stored theoretical marking path based on the positional offset; counting pulses based on the synchronization pulse signal; and comparing the obtained real-time pulse count value with a preset marking trigger threshold. This invention, based on real-time visual positioning and dynamic correction of the marking path, effectively overcomes marking deviations caused by workpiece position fluctuations, improving the stability of the marking process. Through online judgment and closed-loop control of marking quality, automatic identification and rejection of defective workpieces are achieved, ensuring the consistency of the final product quality.

The application relates to the technical field of medical devices and particularly discloses a head needle precise registration and positioning system based on electrode placement positions of a 10-20 electroencephalogram system, which comprises the following modules: a first coordinate registration module, which establishes an electronic head model three-dimensional model based on physical positioning results of all anatomical reference points in a 10-20 electroencephalogram system electrode distribution map by means of an electronic head model and a positioning probe; a second coordinate registration module, which registers 10-20 electroencephalogram system electrode distribution data marked in the electronic head model three-dimensional model with traditional head needle partition data, and determines the coordinates of a target treatment area in the electronic head model three-dimensional model; and a physical positioning module, which guides an operator to position the physical position range of the target treatment area by means of the positioning probe based on the probe coordinate values of the positioning probe in the electronic head model three-dimensional model and the coordinate range of the target treatment area in the electronic head model three-dimensional model, so that the precision of head needle treatment is effectively improved.

This invention discloses a method for measuring the elevation of the lower roller of a leveling machine using a total station. The measurement process is as follows: fabricating a fixture; installing the first leveling machine on the base, setting up the total station with the fabricated fixture, and measuring the z-axis coordinates of both sides of the lower roller; measuring the z-axis coordinates of the elevation reference point; similarly measuring the z-axis coordinates of all the first, second, and third leveling machines; calculating the deviation between the measured value and the design value of the upper surface of the lower roller according to the drawings; calculating the thickness of the shims; adjusting the shims, and then re-measuring after adjustment. The purpose of this invention is to provide a method for measuring the elevation of the lower roller of a leveling machine using a total station. This invention, through the use of a total station and fabricated fixture, completes the elevation measurement of the lower roller of the leveling machine, solving the problem that a level cannot measure this elevation.

The present invention belongs to the interdisciplinary technical field of medical image processing and artificial intelligence. Disclosed is a medical image reconstruction method based on deep learning. The method comprises: acquiring a medical image data set, and labeling corresponding key anatomical structure information; on the basis of a feature encoder and a graph structure processor, constructing a medical image reconstruction model; the feature encoder performing feature extraction on the medical image data set by means of a convolutional neural network, so as to obtain a multi-scale feature map; the graph structure processor constructing an initial landmark point set of the multi-scale feature map by means of a graph attention network, and analyzing topological relationships between landmark points, so as to obtain an optimized landmark point arrangement; on the basis of the optimized landmark point arrangement, constructing an anatomical structure graph; on the basis of the anatomical structure graph, designing an adaptive loss function to train the medical image reconstruction model; and on the basis of the trained medical image reconstruction model, obtaining a corresponding reconstructed image. The present invention achieves the objective of improving the detail representation of a reconstructed image while maintaining the accuracy of an anatomical structure.

This application discloses a refractive screening instrument and its evaluation method, relating to the field of optometry technology. It includes a central processing and evaluation module; a pupil positioning and image capture module, which is signal-connected to the central processing and evaluation module. The pupil positioning and image capture module is used to lock onto the subject's eye and capture eye images to determine the pupil center reference point; and a first projection and sensing module. This application, by calibrating all measurement optical paths with the pupil center as a unified reference point, effectively eliminates alignment errors caused by micro-movements of the eyeball, ensures the consistency of multi-source data in spatial coordinates, and improves the repeatability and accuracy of measurements. This application combines basic refractive power measurement with higher-order aberration analysis, enabling not only the acquisition of conventional refractive powers such as spherical and cylindrical lenses, but also the quantitative detection of complex refractive problems such as irregular astigmatism and corneal morphological abnormalities by analyzing the distortion of the grid pattern.

The application discloses a kind of regional terrain elevation quick measurement methods, it is related to elevation measurement technical field, the method comprises the following steps: S01, laser level is arranged in the measurement area, and ensure that its plane light energy covers the high point and low point of measurement area;S02, rough adjustment and fine adjustment are carried out to laser level using standard gauge, so that the leveling error is less than 1mm;S03, handheld measuring rod is placed in known elevation reference point, the current elevation reference point is input by digital keyboard and the first button is pressed for a long time to complete reference value conversion;S04, the region to be measured is divided into multiple measurement sections, and the number of measuring points and measurement interval of each section are determined, and after the parameters are input into computer, measurement bridge is built for measurement.The application realizes that only one person is needed to operate to quickly and accurately complete the regional terrain elevation automation measurement, significantly improves efficiency and reduces human error.

This application relates to the field of flexible printed circuit board (FPCA) inspection technology, and discloses a multi-region targeted algorithm fusion detection method for FPCA. The method includes: acquiring the image to be inspected, extracting process reference points and estimating the nonlinear deformation field, and performing geometric correction on image block features; orthogonally decoupling the corrected features into semantic direction components and interference amplitude components, discarding the interference amplitude components; performing weighted similarity matching between the semantic direction components and a weighted memory stored according to preset weights of functional regions to obtain anomaly scores; fusing multi-scale anomaly scores and comparing them with a threshold to output the detection results. This application eliminates deformation and illumination interference through a dual mechanism of geometric correction and feature decoupling, and improves the detection capability of minute defects by combining a functional region weighted memory with multi-scale fusion, achieving a significant improvement in detection accuracy and robustness.

The application discloses a medical trolley docking control method and system and a storage medium. The method comprises the following steps: acquiring a target reference point cloud model and a current frame point cloud set; calculating an effectiveness score and a key point position score; constructing an optimization objective function by taking the effectiveness score and the key point position score as weight factors, solving a relative pose, and driving the medical trolley to move; driving a conical locking pin into contact with a V-shaped guide groove, absorbing positioning errors by using a passive translation degree of freedom, and completing docking. The application can effectively eliminate point cloud noise interference and stably complete high-precision stress-free automatic docking.

The estimation device (10) of the present application includes: a sensor section (11) that transmits and receives a sensor wave and detects positions and relative velocities of a plurality of reflection points on an object; a velocity vector calculation section (23) that calculates a velocity vector of an arbitrary reference point of the object; a reflection point distance calculation section (21) that calculates a distance from the reference point to a straight line having a reflection point direction as a slope; a rotational relative velocity calculation section (25) that calculates a rotational relative velocity of the reflection point by subtracting a relative velocity at the reflection point direction based on the velocity vector of the reference point from the relative velocity of the reflection point; and an angular velocity calculation section (27) that calculates an angular velocity of the object based on the reflection point distance and the rotational relative velocity calculated by the reflection point distance calculation section and the rotational relative velocity calculation section.

Systems and methods for registering a microscope image of a tissue sample to a ground truth coordinate system are described herein. The method may include: (i) obtaining a plurality of fields of view (FOVs) of a microscope image of a tissue sample; (ii) stitching the plurality of FOVs together to map the plurality of FOVs to global image locations; (iii) determining locations of fiducials in the stitched plurality of FOVs; (iv) comparing the determined locations of the fiducials to known locations for the fiducials in the stitched plurality of FOVs to compute a transform; and (v) applying the transform to the stitched plurality of FOVs to register the microscope image to a ground troth coordinate system. Additional systems and methods for registering data associated with a spatial transcript image of a substrate to a ground truth coordinate system may similarly be described herein.

The application discloses a kind of different types tunnel construction clearance automatic generation method, step (1), establish standard database, tunnel road grade, design speed, lane number and left side maintenance road width, right side maintenance road width, left side lateral width, right side lateral width, driving lane width, residual value one-to-one corresponding storage;Step (2), obtain the tunnel road grade, design speed, lane number input by user, and generate standard construction clearance basic parameters by matching with standard database;Step (3), receive the individualized parameter input by user, including left side widening value, right side widening value, emergency parking width, emergency parking lane cross slope value, maintenance road height;Step (4), set reference point three-dimensional coordinates, based on basic parameters and individualized parameters, the three-dimensional coordinates of each feature point of construction clearance are calculated by trigonometric function;Step (5), according to the feature point coordinates, tunnel construction clearance graphics are automatically drawn and layer, line type and color identification are completed, and the automation and intelligent level of tunnel engineering design is significantly improved.

The application discloses a vehicle seat adaptive adjustment algorithm setting method and system and electronic equipment, and comprises the following steps: establishing a human body model data based on a digital human body model, and obtaining corresponding human body model height data sets; selecting human body key part feature points based on the digital human body model, obtaining an optimal driving posture of the current human body model, taking the human body model height data sets as the horizontal coordinates of a coordinate system, and taking the difference between the human body key part feature points and seat design reference points as the vertical coordinates of the coordinate system; fitting and setting corresponding algorithms to obtain the adjustment amount of the seat. The application sets the seat adaptive adjustment algorithm based on a Chinese human body library, obtains the optimal human body posture for different heights, and establishes an adjustment algorithm through the human body feature points and seat adjustment reference points, so that the seat of a passenger with different heights can be adaptively adjusted to a suitable position after getting on the vehicle, the intelligent degree is improved, and the user experience is improved.

The present application relates to a kind of based on conjugate double position and visual servoing pump valve body full sequence processing method and five surface machining center.The method includes: by industrial camera, pump valve body blank real-time image is acquired, input pre-training convolutional neural network, output instance segmentation mask and reference point pixel coordinate;Based on PnP algorithm, workpiece pose is solved in real time;Through visual servo control, control signal is generated, and vertical turning module and horizontal machining module are driven along the correction path and parallelly cooperated cutting;Real-time acquisition multi-dimensional force sensing data, combined with processing error compensation model, dynamically compensates servo shaft displacement;By the phase conversion of precision indexing table, until completing full sequence processing.Five surface machining center includes base, precision indexing table and the vertical turning module and horizontal machining module arranged around, is driven to realize parallel cutting by same numerical control system.The present application improves processing precision and efficiency, realizes full sequence automatic processing.

This invention discloses a construction method for a secondary structural column, relating to the field of building construction technology. The method includes the following steps: S1. Determine the center point of the structural column based on its location, and install an infrared transmitter there, ensuring the vertical line emitted by the infrared transmitter coincides with the reference point of the central axis. S2. Divide the four positioning blocks into two groups, insert them into the outer sides of two positioning screws, and position them using limiting nuts. This invention has a scientifically sound and reasonable structure, is safe and convenient to use, and features a size adjustment mechanism. The cooperation of the limiting nuts and positioning screws facilitates the positioning of the positioning blocks. A splicing sleeve is used to easily connect the connecting screw, width-adjusting drum, rotating block, and hook to both ends of the positioning screw. Disassembly is simple; just rotate the splicing sleeve to remove the blocks, improving ease of assembly and disassembly. Rotating the width-adjusting drum moves the two connecting screws, adjusting the spacing between the positioning blocks.

This invention belongs to the field of ship shafting installation technology and discloses a method for illuminating the displacement of ship shafting bearings. The method includes the following steps: Step S1: Establish a first and second reference point for the theoretical shaft centerline; Step S2: Set adjustable optical targets in the inner holes of multiple bearings, confirming that the crosshairs of the adjustable targets coincide with the axis of the inner holes; Step S3: Establish a micrometer collimating telescope behind the first reference point; Step S4: Adjust the micrometer collimating telescope so that its crosshairs coincide with the first and second reference points; Step S5: Based on the displacement, establish parallel axes for positioning multiple bearings using the micrometer collimating telescope; Step S6: Using the parallel axes for positioning multiple bearings as references, align the crosshairs of the targets of multiple bearings with the parallel axes for positioning, completing the positioning of each bearing. This method for illuminating the displacement of ship shafting bearings avoids the scribing deviation caused by manual scribing, ensures the bearing displacement, and results in stable shafting operation with low noise.

The application provides a display method of a VR device and an electronic device, and is used for improving the display effect of the VR device. The method comprises the following steps: after the VR device starts a screen material acquisition function, every specified time length, the eyeball data of a user is acquired by using a preset eyeball tracking algorithm; when the screen material is acquired, for any screen material, the position coordinates of the pupil center point in the eyeball data corresponding to the screen material and the position coordinates of the reference point in the preset standard eyeball data in the VR device are used to obtain the offset parameter of the screen material; if it is determined that the offset parameter of the screen material is in a specified range, the adjustment parameter of the screen material is obtained according to the eyeball data of the screen material and the standard eyeball data; the position and size of the screen material are adjusted by using the adjustment parameter to obtain a target screen material; and the target screen material is rendered by using a preset rendering mode, and the rendered screen material is displayed.

The present application relates to the technical field of document image tamper detection, and particularly relates to a document image tamper detection method and system. The method performs geometric correction on a document image and establishes an orthogonal pixel coordinate system, and extracts key text objects and background regions thereof; based on background texture features, a unified JPEG grid reference point and a high-frequency zero-value mask of the whole document are obtained by statistics, and the construction of a self-reference reference is realized; the grid reference and the zero-value mask are used to extract the frequency domain residual of the text region, and the frequency domain residual is converted into a binary topological graph; the noise dispersion is obtained by analyzing the connected domain distribution, and the feature dimension is converted from the energy amplitude to the geometric morphology; the key objects are grouped based on the layout coordinates, the relative reference of the group is calculated, and the tamper state is judged by comparing the difference between the noise dispersion and the reference. The present application effectively solves the problem of confusion between original content and tamper traces in metadata-free and low signal-to-noise ratio documents, and significantly improves the accuracy and robustness of detection.

The application discloses a kind of methods for evaluating the damage effectiveness of a barrier wall, comprising the following steps: step 1: set the scanning reference point A, the projection reference point O and the reset reference point; Step 2: set the scanning start line S1 and the scanning termination line S2; Step 3: use laser radar to scan back and forth between the scanning reference point A and the scanning start line S1, and obtain the position of the left end point B of the barrier wall; Step 4: raise / lower the height of the laser radar in the vertical direction, then scan back and forth between the scanning start line S1 and the scanning termination line S2, obtain the position of the left end point D and the right end point E of the channel formed after the barrier wall is damaged, and the size of the channel, and use the scanned data to build a three-dimensional model of the barrier wall; Step 5: combine the size of the channel after the barrier wall is damaged, the barrier breaking process, and the number of equipment and materials used for barrier breaking to accurately evaluate the damage effectiveness of the barrier wall. This method realizes the accurate collection of the barrier wall and its damage data, and has better environmental adaptability than image collection.

A kind of six-freedom absolute deformation measurement method of measuring platform based on single reference point measurement platform, with measuring platform as center, in the measured area, and with measuring platform as the other side of symmetry, reference point is arranged, laser displacement measuring instrument, camera and target are arranged on reference point;Camera is used to collect measuring platform target image on measuring platform;Target on reference point is used as feature recognition point;Two-dimensional inclination measuring instrument is arranged on measuring platform, measuring platform camera and measuring platform target;Measuring platform target is used for collecting image data by camera of reference point;The present application realizes real-time solution to six-freedom (three-dimensional translation+three-dimensional rotation) displacement of measuring platform by single reference point feature identification and measuring platform feature identification, to realize high-precision measurement to position change of measuring platform itself, so that measurement result is more accurate.

This invention discloses a method for determining and correcting the parallelism of rolling mill axis, belonging to the field of metallurgical rolling mill equipment maintenance technology. The method involves pre-setting four coplanar reference points on the rolling mill stand to form a fixed reference plane; using a straight rod to press across the upper and lower rolling mill surfaces along two diagonal directions, ensuring the rod simultaneously contacts both rolling surfaces with both ends pointing to the corresponding reference points, and measuring four gap values; calculating the absolute value of the difference between the sum of the two sets of diagonal gaps, and comparing it with a threshold value to determine coplanarity; if the difference exceeds the tolerance, adjusting the thickness of the shims in one set of diagonal directions so that the sum of the adjustments equals the absolute value of the difference, while keeping the other set unchanged. After static correction, a lubricant indicator is applied to the center of the rolling surface, and the mill is run without load. The vertical gap is adjusted to make both sides equal, and the shims are dynamically adjusted according to the spiral line until there is no spiral line. This invention requires no precision instruments, is easy to operate, and can achieve high-precision correction through both static and dynamic methods.

This invention discloses a dimensional measurement method, apparatus, stacker, and storage medium supporting rapid changeover. The invention includes: acquiring a target product image, product dimensional data, and product spacing distance of the product being changed; locating the center coordinates of each product detection area within the target product image based on a preset reference point, the product dimensional data, and the product spacing distance; identifying the target edge positions of each product detection area based on the center coordinates and the product dimensional data; and determining the dimensional measurement data corresponding to the measurement request based on the target edge positions and the product dimensional data when a measurement request is received. This invention achieves fully automated visual positioning and measurement during the changeover process, significantly shortening the changeover operation time, improving production efficiency, and enhancing the repeatability and rapid response capability of dimensional measurements. It can be widely applied in the field of machine vision dimensional inspection technology.

This application discloses a method, device, and medium for acquiring reference information for geometric elements. The method includes: determining geometric elements through pre-set human-computer interaction software, distinguishing the geometric elements to determine the corresponding element types, including feature elements and topological elements; determining reference elements according to the types, uniformly naming the reference elements, determining the corresponding geometric object names of the reference elements through pre-set APIs, and determining the corresponding geometric types based on the geometric object names; determining the reference point and reference direction corresponding to the geometric type, and determining the coordinate values ​​of the reference point and the direction vector values ​​of the reference direction. This application accurately determines geometric elements through human-computer interaction, uniformly names reference elements after distinguishing element types, and uses APIs to determine geometric types, thereby acquiring reference information. The logic is clear, the operation is standardized, and it can efficiently and accurately acquire geometric element references, improving processing efficiency and accuracy.

The application belongs to the technical field of data preprocessing, and particularly relates to a method and system for quantitatively evaluating a point cloud denoising algorithm. The method comprises the following steps: taking a group of original point cloud data as a reference point cloud; generating simulated noise points through noise configuration parameters; the noise configuration parameters include a noise generation method, corresponding specific parameters and a number of noise points; merging the reference point cloud and the simulated noise points to generate a point cloud to be processed, and then performing denoising processing through denoising configuration parameters to obtain a main point cloud remaining after denoising and outlier points removed after denoising; the denoising configuration parameters include a denoising algorithm to be tested and corresponding key parameters; and calculating a quantitative evaluation index according to at least one of the main point cloud and the outlier points and at least one of the reference point cloud and the simulated noise points to quantitatively evaluate the point cloud denoising algorithm. The method can quantitatively evaluate the degree of restoring a real image from a denoised image, and provides a data-driven scientific basis for parameter selection of the denoising algorithm.

A frame which is a frame having a rectangular shape in plan view, four intersection points at which center lines of the length directions of the respective side portions of the frame intersect with each other are provided at four corner portions of the frame, the frame is arranged on a flat surface, a height Z1 from the flat surface is measured at the four intersection points, a first intermediate point which is an intermediate point of two intersection points among the four intersection points that are located on the same side portion of the frame, a second intermediate point which is an intermediate point of the intersection points and the first intermediate point, and a difference between a maximum value and a minimum value of the heights Z1 of the intersection points is 25 µm or less when a point among the four intersection points, the first intermediate point, and the second intermediate point at which the height Z1 is the smallest is set as a reference point (zero).