47 results about "Discrete curve" patented technology

A turbine blade for use in an industrial gas turbine engine, the blade having a squealer pocket with a plurality of discrete curved cooling channels to cool the blade tip and to reduce the hot gas flow leakage across the tip. The curved cooling channels include a side wall cooling channel, a tip rail crown cooling channel and an inner tip rail wall cooling channel all discharging cooling air from a cooling supply channel within the airfoil. Both the pressure side and suction side tip rails include this arrangement of cooling channels.

System and method for determining a mapping operator for use in a pattern matching application, where the mapping operator enhances differences between respective objects of interest and background objects, e.g., objects not of interest. First and second information is received regarding an object of interest and objects that may appear with the object of interest in an acquired target data set, respectively. The mapping operator is determined using the first information and the second information by determining a template discrete curve characterizing the object of interest, determining one or more target discrete curves characterizing the background objects, and generating a mapping operator that enhances differences between the mapped template discrete curve and the mapped target discrete curves. The operator is stored in a memory and is operable to be used in a pattern matching application to locate instances of the object of interest in acquired target data sets or images.

System and method for determining the presence of an object of interest from a template image in an acquired target image, despite of or using various types of affine transformations of the object of interest in the target image. A template image discrete curve is determined from the template image corresponding to the object of interest, and a template curve canonical transform calculated based on the curve. The canonical transform is applied to the template curve to generate a mapped template curve. The target image is received, a target image discrete curve determined, and a target curve canonical transform computed based on the target curve canonical transform. The target canonical transform is applied to the target curve to generate a mapped target curve. Geometric pattern matching is performed using the mapped template and target image discrete curves to generate pattern matching results, and the pattern matching results are output.

System and method for determining the presence of an object of interest in a target image. Regions of a target image may be located that match an object of interest, e.g., in a template image, with respect to various information, e.g., luminance, color and/or other types of boundary information. The invention includes improved methods for mapping point sequences (e.g., pixel sequences) or curves to new point sets or curves for curve matching. The method determines the presence of an object of interest in a target image despite of or using various types of topological transformations of the object of interest in the target image. One or more mapping operators are determined based on template curves and/or example target curves. Pattern matching is performed on one or more target images using the mapping operator(s) to generate pattern matching results, and the pattern matching results output.

System and method for determining the presence of an object of interest in a target data set. Portions of a target data set may be located that match an object of interest, e.g., in a template data set, with respect to various information, e.g., edge or boundary information. The invention includes improved methods for mapping point sets or curves to new point sets or curves for curve matching. The method determines the presence of an object of interest in a target data set despite of or using various types of topological transformations of the object of interest in the target data set. One or more mapping operators are determined based on template curves and/or example target curves. Pattern matching is performed on one or more target data sets using the mapping operator(s) to generate pattern matching results, and the pattern matching results output.

The invention provides a special-shaped trajectory control method and device, relates to the field of automatic control. The method comprises a step of receiving original trajectory point data, a step of dividing the original trajectory point data into multiple trajectory intervals according to the trajectory characteristics of the original trajectory point data, a step of fitting the original trajectory point data in each trajectory interval and obtaining a corresponding fitting curve, a step of carrying out discrete processing on the fitting curve of each trajectory interval so as to obtain the 3D coordinates of a corresponding discrete curve point, a step of generating a next interpolation data point position of a synchronous axis according to a predetermined time interval and according to the structure parameters of the synchronous axis and the 3D coordinates of the discrete curve point, and a step of controlling the motion trajectory of the synchronous axis according to the interpolation data point position of the synchronous axis. Thus an acceleration process is more stable and efficient, an error rate is small, and processing equipment is protected. The accuracy is extremely high.

System and method for estimating a rotational shift between a first discrete curve and a second discrete curve, where the second discrete curve is a rotationally shifted version of the first discrete curve. First and second discrete curves are received. A rotational shift between the first discrete curve and the second discrete curve is estimated based on the first discrete curve and the second discrete curve. A cumulative rotational shift is updated based on the estimated rotational shift. A rotationally shifted version of the second discrete curve is generated based on the cumulative rotational shift. The estimating, updating, and generating are performed in an iterative manner using the respective rotationally shifted discrete curve for each iteration until a stopping condition occurs, thereby determining a final estimate of the rotational shift between the first discrete curve and the second discrete curve. The final estimate may be used to perform curve matching.

System and method for detecting symmetries of discrete curves. A mapping operator is applied to a first discrete curve to amplify its features, generating a first mapped discrete curve. A correlation of the first mapped discrete curve with each of a plurality of rotationally shifted versions of a second mapped discrete curve is computed, generating a corresponding plurality of correlation values. A minimum period of the two curves is determined based on the correlation values, and, based on the minimum period, a symmetry group (SG) of the two curves is determined and output. If the two curves are the same curve, the SG is the rotational SG of the discrete curve. If the second curve is a reflection of the first, the SG is the mutual reflection SG of the first. If the first and second curves are different curves, the SG is the mutual SG of the two curves.

The invention discloses a finger tip detection and gesture identification method based on depth information. The method comprises the following steps: obtaining a depth image comprising gesture information, performing coarse segmentation on a hand portion by use of a threshold method to obtain a hand shape with a part of a forearm area; realizing accurate segmentation of a hand area through detecting a wrist feature identification, and extracting a hand contour curve; obtaining a hand simplified broken line by simplifying the hand contour curve by use of a discrete curve evolution method; detecting finger tips on the hand simplified broken line by use of the threshold method; and identifying a gesture according to the quantity of the finger tips included in the hand simplified broken line and a set gesture model. The method can accurately segment the hand area, and at the same time, detects the finger tips and identifies the gesture. The invention further provides a corresponding finger tip detection and gesture identification system based on depth information.

System and method for characterizing configurations of discrete curves based on detected symmetries in the configuration. A configuration of discrete closed curves is received. A plurality of configuration rotational symmetry sub-groups of the configuration are determined, each associated with one or more of the discrete curves, and based on each curve's distance from a configuration center of mass, equivalence class, rotational symmetry group, and sub-configuration rotational symmetry group. The configuration rotational symmetry sub-groups are determined by normalizing the configuration, including determining a configuration center of mass, determining the equivalence class and rotational symmetry group for each discrete curve, determining one or more subsets of the discrete curves based on each discrete curve's equivalence class and distance from the configuration center of mass, and determining configuration rotational symmetry sub-groups for each of the subsets based on each curve's rotational symmetry group, and relative orientations of the discrete curves in the subset.

The invention discloses a data filling method for an intelligent electric meter based on a variation auto-encoder, and the method is specifically implemented according to the following steps: taking ahistorical daily load data set obtained in an intelligent electric meter as a clustering sample for clustering analysis, and obtaining type days with different power utilization characteristics, namely, clustering results; taking historical load data in dates contained in the clustering result as input, and generating a VAE-based massive daily load curve; establishing a mathematical model of discrete curve similarity, selecting a group with the highest daily similarity with the missing data by comparing with each clustering center, and finding out ten curves similar to the daily load curve ofthe missing data in shape from the group with the highest similarity to serve as historical daily load curves; and processing data corresponding to the similar historical daily load curve through animproved weighted average method to obtain a corresponding missing data prediction value, thereby realizing missing day intelligent electric meter load data filling. Missing data can be accurately filled through historical load data.

The invention discloses a surveying and mapping device, and relates to the technical field of surveying and mapping, the key points of the technical scheme are as follows: the surveying and mapping device comprises an unmanned aerial vehicle body and a GPS positioning device arranged below the unmanned aerial vehicle body. The GPS positioning device is wirelessly connected with a drawing terminal;the drawing terminal receives the position information of the GPS positioning device and records the position information of the GPS positioning device in real time; the GPS positioning device is suspended below the unmanned aerial vehicle, and the drawing terminal is provided with a fitting unit used for fitting a position path on the GPS positioning device into a linear discrete curve. The technical problem that a method for surveying and mapping through unmanned aerial vehicle photographing is not accurate enough is solved, and the method has the advantage of improving surveying and mapping accuracy.

The invention relates to the technical field of machine manufacturing, in particular to a machining method of a high-precision special-shaped curved surface. The method comprises the following steps that S1, a polyline is generated according to curved surface parameters of a workpiece to be machined, and is further decomposed into a plurality of polylines; and the polylines are composed of a plurality of straight line segments and/or arc segments; S2, the straight line segments and/or arc segments in the polylines are recognized, a starting point is marked, and horizontal or vertical line segment identification is conducted with the starting point as an end point; and S3, the end points of N straight line sections and/or arc sections are sequentially selected in the curve fitting direction, the end points are numbered as Ni (i = 1-n) in sequence, the arc is fitted by using the three points of N1, N2 and Nn/2, and the normal deviation of the arc and the fitted curve is obtained. According to the machining method of the high-precision special-shaped curved surface, a discrete curve dot matrix which cannot be recognized by JG is fitted into a continuous curve (surface) which can be subjected to programming machining, and high-precision machining of parts is achieved.

The invention relates to the field of data processing, and provides an objective question marking method and device based on an answer sheet, equipment and a storage medium. The method comprises the following steps: shooting an answer sheet after answering to obtain a digital image of the answer sheet; collecting a discrete curve corresponding to a horizontal line segment and a discrete curve corresponding to a vertical line segment based on the digital image; positioning grid units from the digital image according to the horizontal discrete curve and the vertical discrete curve; obtaining the handwritten answer content of each question from each positioned grid unit; recognizing the handwritten answer content to obtain an recognition result of each question; and comparing the recognition result of each question with a preset standard answer one by one to obtain a reviewing result of each question. According to the method, grid cell positioning is carried out through discrete curves, when the answer sheet is warped and other deformations, the method is more accurate compared with a traditional straight line detection algorithm, and compared with an algorithm based on deep learning, the calculation power demand is smaller, and the method is more suitable for real-time application scenarios based on edge calculation, such as real-time classroom test and the like.

The invention relates to the technical field of laser cutting numerical control machining, and discloses a track smoothing method for numerical control machining based on B spline curve fitting, and the track smoothing method comprises the following steps: S1, recognizing and deleting a part of problem points by adopting conditions such as included angle limitation of adjacent line segments, and completing the processing of original data points; and S2, the discrete curve is processed, interpolation points are selected according to curvature and other conditions, self-adaptive adjustment can be carried out according to curvature limitation and the like of the discrete curve, and a curve with relatively high precision can be constructed with relatively few interpolation points. The track smoothing method for numerical control machining based on B spline curve fitting can be suitable for a motion system needing track processing, fitting processing of spline data machining points is facilitated, the error influence caused by curvature can be reduced in data fitting, meanwhile, the system accuracy is improved, data points are convenient to operate and process, and the method is suitable for large-scale popularization and application. The requirement of a machine tool for track smoothness is met, and operation performance is improved.

The invention relates to the technical field of signal processing, and specifically discloses an ultrasonic signal processing method. The method specifically comprises the following steps of: step one. measuring the wall thickness of an inspected workpiece by using ultrasonic waves, and collecting and storing a radio-frequency signal array containing only resonance waves; step 2. creating an approximated discrete curve; step 3. carrying out convolution calculation on the collected radio-frequency signal array data by using the approximated discrete curve as a window function to obtain a new curve; step 4. obtaining the sampling position of the periodic characteristic point of the new curve; and step 5. obtaining the accurate resonance wave frequency by using a linear regression algorithm.The ultrasonic signal processing method can greatly shorten the wall thickness signal processing time while ensuring the measurement accuracy of the pipe wall thickness, and improves the working efficiency of the system.