38 results about "Point distribution model" patented technology

Certain embodiments provide a computer apparatus operable to carry out a data processing method to position a set of anatomical landmarks in a three-dimensional image data set of a part or all of a patient, comprising: providing a trained supervised machine learning algorithm which has been trained to place each of the set of anatomical landmarks; applying the supervised machine learning algorithm to place the set of anatomical landmarks relative to the data set; providing a trained point distribution model, including a mean shape and a covariance matrix, wherein the mean shape represents locations of the set of landmarks in a variety of patients; and applying the point distribution model to the set of landmarks with the locations output from the supervised machine learning algorithm by: removing any landmarks whose locations have an uncertainty above a threshold with reference to the mean shape and covariance matrix; followed by: an optimisation of the locations of the remaining landmarks by maximising joint likelihood that a new shape, derived from linear combinations of eigenvectors of the covariance matrix, is plausible.

The invention relates to a moving method and device for shot points in an obstacle area of a three-dimensional seismic acquisition and observation system, and the method comprises the steps: buildinga theoretical shot point distribution model representing the distribution of shot points according to the coordinate data of a theoretical observation system; constructing a grid control parameter according to a theoretical shot line distance and a theoretical shot point distance in the theoretical shot point distribution model; forming a polygon model representing the boundary of the obstacle area according to the boundary of the obstacle area, wherein the number of theoretical shot points covered in the polygon model is n; m vacancy grids are formed around the polygon model according to thegrid control parameters, and m is larger than or equal to n; and moving n shot points in the polygon model to n vacancy grids. According to the invention, the smoothness of the shot line and the uniformity of shot point placement are maintained, and the overall placement rationality of a plurality of shot points is improved.

The present invention relates to a method for designing dental prosthesis, an apparatus for the same, and a recording medium for recording the same. According to the method, sore spots on which a patient may feel pain due to wearing a dental prosthesis are predicted based on a sore spot distribution model which has been modeled with a plurality of data, and the dental prosthesis is digitally designed based on the predicted results. Accordingly, it is possible to improve the prediction accuracy of sore spots and rapidly design the prosthesis which is more appropriate for the patient.

The invention relates to a method for directly generating digitalized shoe trees by using foot shapes, solving the difficult problem of customizing shoe trees by measuring feet. The method comprises the following steps: (1) selecting shoe tree samples to form a shoe tree sample set; (2) designing gauge points, determining gauge points on each shoe tree sample and then acquiring the positions of the gauge points by using a scanner to obtain gauge point distribution models of the shoe tree samples; (3) aligning the gauge point distribution models of the samples; (4) generating statistic deformation models of the shoe trees; (5) calibrating the parameter of each camera and then acquiring a plurality of images of target foot shapes; (6) calculating the center of gravity of the foot shapes; (7) estimating the sizes of the foot shapes; (8) estimating the direction of the foot shapes; (9) changing individual vectors in the statistic deformation models of the shoe trees according to the plurality of images of the foot shapes until the projection of the models in each image is most identical with the true images of the foot shapes; and (10) outputting digitalized three-dimensional shoe tree models. The invention has the advantages of full automation, high speed and efficiency, simple use, low cost and the like.

The embodiment of the invention provides a parameter inference method and device, and relates to the technical field of prediction or optimization, and the parameter inference method comprises the steps: receiving a plurality of key points of a human body part, wherein the plurality of key points are used for reflecting the features of the human body part; and processing the plurality of key points by using a trained neural network point distribution model to obtain shape parameters and posture parameters corresponding to the human body part. According to the embodiment of the invention, the trained neural network point distribution model is utilized to obtain the shape parameter and the attitude parameter corresponding to the human body part according to the plurality of key points of thehuman body part, and compared with the prior art, the problems of large calculation amount and long PDM model establishment time can be improved.

The invention discloses a face tracking method and a camera. The method of the present invention includes: obtaining the initial position of the facial feature point of the first frame image in the image frame sequence collected; using the initial position of the facial feature point as the input of the convolutional neural network, and the output of the convolutional neural network The position probability heat map of the facial feature point, the position probability heat map of the facial feature point adopts a point distribution model to perform iterative regression processing, and obtains the pixel position of the facial feature point in the first frame image; using the The facial feature point is at the pixel position of the first frame image, and the initial position of the facial feature point of the second frame image in the image frame sequence is acquired to realize face tracking. The invention can realize alignment and tracking of human faces between frames, avoid instability and shaking of facial feature points between frames, and improve tracking accuracy and tracking speed.

Embodiments of the present application provide a parameter inference method and device, which relate to the technical field of prediction or optimization. The parameter inference method includes: receiving multiple key points of human body parts, wherein the multiple key points are used to reflect the human body parts features; using the trained neural network point distribution model to process the multiple key points to obtain shape parameters and posture parameters corresponding to the human body parts. In the embodiment of the present application, the trained neural network point distribution model can be used to obtain the corresponding shape parameters and posture parameters of the human body parts according to multiple key points of the human body parts. longer question.

A method for analyzing image distortion based on invariant moments, comprising: 1) selecting an appropriate moment invariant: in a dynamic body model, using a point distribution model to represent the object outline in an image; 2) an active detection method for model distortion: 2.1 ) For the PDM in the dynamic shape model, each label point has a corresponding weight, and a PDM is decomposed into sub-graphs according to the weight; 2.2) Calculate each sub-graph and model in the training set after each The boundary moment invariants of a sub-graph; then calculate the cluster center values ​​of these boundary moment invariants; 2.3) The steps of carrying out the distortion detection of the model are: 1. divide the deformed model into blocks according to the pre-defined block strategy; ② Calculate the boundary moment invariant of each sub-graph; ③ Calculate the distortion probability of each sub-graph according to formula (2)(3)(4); 3) Active correction method of model distortion. The invention can effectively detect and correct the distortion in the search process, and has good reliability.

The invention discloses a comprehensive construction method for an engine shell vibration general picture, and is used for solving the technical problem of poor practicality of an existing construction method for the engine shell vibration general picture. The technical scheme is characterized in that a way of uniform revolving speed and steady state clamping is adopted, and the vibration information of tested equipment in each area is measured in different times; then, the position information of each measurement point on the shell is synthesized to carry out compensation calculation on the original vibration information obtained by measurement, and the 1 / 3-time frequency interval vibration numerical value of each measurement point under a certain center frequency is calculated by the data; according to the outline structure of the shell, a three-dimensional model is established, and a measurement point distribution model is established according to a practical distribution situation; and finally, a measurement point coordinate and a measurement sequence are followed to splice a plurality of area surface vibration matrixes, so that the vibration information which is in the presence is converted into a matrix which can integrally express shell vibration characteristics, and data in the matrix corresponds to the measurement point of a shell model one by one to establish a three-dimensional vibration general picture model. The method exhibits good practicality.

The invention relates to a method for calculating shapes, deformation and covariance matrixes of flexible body point distribution models based on an interpolation algorithm, which comprises the steps of (1) loading flexible distribution models Ma and Mb of two adjacent times Ta and Tb, wherein Ma=(gamma a, phi a and lambada a), Mb=(gamma b, phi b and lambada b); (2) respectively calculating average shapes gamma a and gamma b, characteristic matrixes phi a and phi b and characteristic values lambada a and lambada b by the flexible body distribution models Ma and Mb to set the continuous variation of a flexible body from the Ta to the Tb; 2.1) calculating the average shape of a middle model; (2.2) calculating the deformation of the middle model; and (3) obtaining the middle model Mt of time t according to the average shape, the deformation and the covariance matrix of the middle model. The method can form middle transition models which are distributed in real time and has high model accuracy and good practicality.

The invention provides a moving target selection method and a moving target selection system based on correction of a user presentation model. The method comprises the steps of performing dimension matching on a display interface, wherein an optional target included in the interface is expressed by a target set; acquiring a selection fall point, and calculating a selected probability of each optional target in the target set according to the selection fall point to obtain a probability set; taking the optional target corresponding to a maximum probability in the probability set as a final selected target. According to the moving target selection method and the moving target selection system based on correction of the user presentation model, for a moving target selection task, a target selected fall point distribution model is established, and the moving target selection is further corrected through the model to improve the efficiency of interactive tasks.

The invention relates to a method and device for moving shot points in obstacle areas of a three-dimensional seismic acquisition and observation system. The theoretical shot line distance and theoretical shot point distance construct grid control parameters; according to the boundary of the obstacle area, a polygonal model representing the boundary of the obstacle area is formed, and the number of theoretical shot points covered in the polygonal model is n; around the polygonal model, according to the grid control The parameters form m space grids, m≥n; move n shot points in the polygonal model to n space grids. The invention maintains the smoothness of the shot line and the uniformity of the placement of the shot points, and improves the rationality of the overall placement of multiple shot points.