48 results about "Face muscles" patented technology

The invention provides a method for automatically constructing a three-dimensional face muscle model. The muscle model is the most commonly used facial animation drive model at present, three-dimensional facial expression changes are driven by simulating contraction of the facial muscle; however, an artist spends much time in performing fine adjusting on the construction of the conventional face muscle model, and after the face muscle model is changed at a time, all the construction even needs to do again. Based on the problems, the invention provides the novel method for constructing the face muscle model; the method realizes the automatic construction and the assembly of the face muscle by researching a space position mapping relationship between the three-dimensional face characteristic points and the face muscle; and an experimental result proves that the method makes the artist be free from fussy hand debugging, and enables a normal user to customize a three-dimensional image with various expressions required per se.

A tracking method of human body motions and an identification method thereof are disclosed. The tracking method includes the following steps: providing a continuous and multi-frame dynamic image and establish a background based on the dynamic image; simultaneously performing a pretreatment and a human body position process on every frame of the image so as to acquire and output human body position information of the frame. The identification method includes the following steps: arranging a human body identification mode, such as a mouse mapping mode, a state mode, a motion mode and the like; identifying the human body position information of the every frame based on the human body identification mode and outputting the identification information. By using the methods of the invention, a video can be tracked continuously, high-accurately and real-timely for the every frame and the human body position information can be output. Especially, the methods can be used to tracking the motions of small face sport organs, such as eyes, a mouth and face muscles and motions of an upper limb part with a large motion amplitude, a high frequency and complex motion characteristics. Simultaneously, attitude information, such as a mouse position, a mouse movement, single click, double click, hands position, a left hand movement from left to right and the like, can be identified and output.

The invention discloses a facial muscle state analysis and evaluation method. The method comprises the following steps: after the face image analysis device is started, capturing a face image of a user through the image capturing unit; analyzing the face image according to an analysis algorithm to obtain a plurality of ideal muscle recognition points corresponding to the five sense organs; identifying the face image according to a fuzzy comparison algorithm and a training model to obtain a plurality of actual muscle identification points corresponding to the muscle state; then, enabling the face image analysis device to evaluate each actual muscle recognition point according to the plurality of ideal muscle recognition points and a pre-stored evaluation rule, and displaying the plurality of ideal muscle recognition points, the plurality of actual muscle recognition points and an evaluation result on a display unit.

The invention discloses a real-time training method for an expression database. The method comprises the following steps: S1, inputting in advance: enabling an actor to input expression coordinate sequences of all expressions of the expression database in advance before performance; S2, presetting a range: obtaining a preset range through big data analysis of values of the multidirectional tensionsensors corresponding to all facial feature point positions of each expression; S3, carrying out expression real-time acquisition: when an actor performs, making different expressions, and generatinga set of expression coordinate sequence consistent with the positions of the facial feature points in step S1; S4, comparing and screening: comparing and screening the numerical values of the multidirectional tension sensors corresponding to the positions of the facial feature points of the expression coordinate sequence; and S5, performing multi-sample training: continuously and accurately determining a predetermined range of the facial feature points through a large number of expression coordinate sequences. The motion state of the facial muscles is captured in real time in the performanceprocess, so that the preset range of each muscle of each expression of a specific actor is continuously updated and accurately determined, and the purpose of training a database is achieved.

The invention discloses a face dressing for preventing air leakage of a breathing mask.The face dressing comprises a dressing body, a face adhesive patch and a mask adhesive patch.The two faces of the dressing body are coated with an adhesive to form adhesive layers.The two faces of the dressing body are connected with the face adhesive patch and the mask adhesive patch respectively through the adhesive layers.The gap between the mask and the face is filled with the dressing body, the stability of the fixed position of the mask can be guaranteed, and meanwhile air leakage caused by face muscle movement in the use process of the mask is reduced.By means of the face dressing, the effectiveness of face ventilation is improved, stability of treatment pressure of a breathing machine is guaranteed, and therefore the use comfort degree and compliance of a patient are improved.

The invention discloses a face recognition method based on fusion of dynamic and static features, especially a face recognition method based on comprehensive static features and dynamic features; static features focus on global contours, and face image features are regarded as high-dimensional features, through Linear and nonlinear transformations are mapped to low-dimensional subspaces, so that the features of the original sample are obtained in the low-dimensional space for classification. Dynamic features focus on local changes, mainly based on facial expressions, such as smiles, depression, etc., by extracting The dynamic features of facial muscle changes can obtain a set of feature functions of muscle changes and time, so as to perform accurate identification and classification, and improve the accuracy of face recognition.

The invention relates to a silent information recognition system based on facial muscle sound signals, comprising: a sensor for collecting facial movement signals; a signal conditioning circuit connected to the sensor to perform voltage stabilization and voltage scaling processing on the signals collected by the sensor; a single-chip microcomputer, Connect with the signal conditioning circuit, receive the signal processed by the signal conditioning circuit, and perform signal preprocessing, feature extraction processing and action classification processing on the signal in sequence, and output the classification result; Action classification results and display. Compared with the prior art, the present invention has the advantages of simple structure, good convenience, real-time and accurate transmission of silent signals, and the like.

The invention discloses a method for automatically marking facial muscle feature points, which is applied to a facial image analysis device and comprises the following steps of: collecting a to-be-recognized image containing the face of a user; executing a face recognition program on the to-be-recognized image to obtain a plurality of strong reference points on the face; performing fuzzy comparison on the to-be-recognized image based on a pre-trained training model and generating an recognition result; marking a plurality of muscle feature points on the to-be-recognized image according to the recognition result, wherein the plurality of muscle feature points respectively fall on a plurality of weak reference points on the face; and displaying the to-be-recognized image and the plurality of muscle feature points in an overlapping manner through a display unit. According to the invention, a plurality of muscle feature points for representing the facial muscle state can be automatically marked on the facial image of the user.

The present invention proposes a method, device, storage medium and terminal equipment for facial symmetry recognition, wherein the method includes: acquiring a facial image to be recognized; generating a surface texture image and a muscle texture image according to the acquired facial image ; According to the surface texture image, determine the facial contour symmetry of the facial image; according to the muscle texture image, determine the facial muscle symmetry of the facial image; and according to the facial contour symmetry and the facial muscle symmetry, generating suggestions for adjusting the symmetry of the face. With the present invention, the symmetry of the face can be recognized.