109 results about "Facial movement" patented technology

The present invention describes compositions and methods for treating, preventing and improving the appearance of skin, particularly, treating, preventing, ameliorating, reducing and/or eliminating fine lines and/or wrinkles of skin, wherein the compositions include limonoid constituents which inhibit acetylcholine release at neuromuscular junctions of skeletal muscle so as to relax the muscles involved with wrinkling, folding and creasing of skin, e.g., facial movement and expression. The limonoids preferably include the plant alkaloids toosendanin and azadirachtin. The compositions, which also are used to treat hyperhidrosis, are preferably applied to the skin, or are delivered by directed means to a site in need thereof.

A system and method for animating facial motion comprises an animation processor adapted to generate three-dimensional graphical images and having a user interface and a facial performance processing system operative with the animation processor to generate a three-dimensional digital model of an actor's face and overlay a virtual muscle structure onto the digital model. The virtual muscle structure includes plural muscle vectors that each respectively define a plurality of vertices along a surface of the digital model in a direction corresponding to actual facial muscles. The facial performance processing system is responsive to an input reflecting selective actuation of at least one of the plural muscle vectors to thereby reposition corresponding ones of the plurality of vertices and re-generate the digital model in a manner that simulates facial motion. The muscle vectors further include an origin point defining a rigid connection of the muscle vector with an underlying structure corresponding to actual cranial tissue, an insertion point defining a connection of the muscle vector with an overlying surface corresponding to actual skin, and interconnection points with other ones of the plural muscle vectors.

System and methods for computer animations of 3D models of heads generated from images of faces is disclosed. A 2D captured image that includes an image of a face can be received and used to generate a static 3D model of a head. A rig can be fit to the static 3D model to generate an animation-ready 3D generative model. Sets of rigs can be parameters that each map to particular sounds or particular facial movement observed in a video. These mappings can be used to generate a playlists of sets of rig parameters based upon received audio or video content. The playlist may be played in synchronization with an audio rendition of the audio content. Methods can receive a captured image, identify taxonomy attributes from the captured image, select a template model for the captured image, and perform a shape solve for the selected template model based on the identified taxonomy attributes.

The present invention combines a conventional audio microphone with an additional speech sensor that provides a speech sensor signal based on an input. The speech sensor signal is generated based on an action undertaken by a speaker during speech, such as facial movement, bone vibration, throat vibration, throat impedance changes, etc. A speech detector component receives an input from the speech sensor and outputs a speech detection signal indicative of whether a user is speaking. The speech detector generates the speech detection signal based on the microphone signal and the speech sensor signal.

The illustrated and described embodiments describe techniques for capturing data that describes 3-dimensional (3-D) aspects of a face, transforming facial motion from one individual to another in a realistic manner, and modeling skin reflectance.

The method permits the animation of a synthesised model of a human face in relation to an audio signal. The method is not language dependent and provides a very natural animated synthetic model, being based on the simultaneous analysis of voice and facial movements, tracked on real speakers, and on the extraction of suitable visemes. The subsequent animation consists in transforming the sequence of visemes corresponding to the phonemes of the driving text into the sequence of movements applied to the model of the human face.

A method for providing visual sequences using one or more images comprising:

• receiving one or more person images of showing atleast one face,
• using a human body information to identify requirement of the other body part/s;
• receiving atleast one image or photograph of other human body part/s based on identified requirement;
• processing the image/s of the person with the image/s of other human body part/s using the human body information to generate a body model of the, person, the virtual model comprises face of the person,
• receiving a message to be enacted by the person, wherein the message comprises atleast a text or a emotional and movement command,
• processing the message to extract or receive an audio data related to voice of the person, and a facial movement data related to expression to be carried on face of the person,
• processing the body model, the audio data, and the facial movement data, and generating an animation of the body model of the person enacting the message,
• Wherein emotional and movement command is a GUI or multimedia based instruction to invoke the generation of facial expression/s and or body part/s movement.

Apparatus and method for configuring a screen for a video call using a facial expression by recognizing a face from an image, calculating facial expression information for an expression of the recognized face, and determining whether there is a change in expression of the recognized face by comparing the calculated facial expression information with reference expression information preset to determine a change in expression of the face. If there is a change in expression of the recognized face, the apparatus and method selects a video image corresponding to the changed expression in the video call screen, and reconfigures the video call screen using the selected video image, making it possible for a user to conveniently select an image of the interested person without taking extensive action, and preventing a wrong image from being selected due to the unintended user facial movement.

An illustrative embodiment of a facial movement measurement and stimulation apparatus includes at least one facial movement sensor adapted to sense facial movement in a subject and a device interfacing with the facial movement sensor or sensors and adapted to receive at least one signal from the facial movement sensor or sensors and indicate facial movement of the subject. A facial movement measurement and stimulation method is also disclosed.

A full mouth reconstruction method and apparatus includes a denture molding structure mounted onto a patient's maxilla and mandible after being filled with an impression material, so that a static molding of the patient's gum can be performed based on the patient's occlusion. Important reference data including the vertical height of occlusion, facial midline, horizontal occlusion line, connecting line between two pupils and nose-ear horizontal line are recorded for facial and oral reconstructions while the patient is biting a first recording device, and the facial movements of the patient's chewing and speaking are recorded quickly while the patient is biting a second recording device. Records of a metal calibration are applied to obtain data of a patient's front-and-rear, left-and-right, and up-and-down maxillary and mandibular movements through facial movements of a patient's chewing and speaking, and these data are provided to a dental mold technician for producing the denture.

The invention relates to a method for detecting face symmetry and anomaly based on real-time face detection. The method includes a training stage and a testing stage. The training stage includes the following steps that: a deep convolutional neural network model is established; the image data of the main parts of the face of a user are acquired; and an optimal classification strategy is provided according to the image data given by the user. The testing stage includes the following steps that: the facial movement of the user is monitored in real time; the image data of the main parts of the face of the user are acquired; the images of the main parts of the face of the user are processed through the deep convolutional neural network model, and deep convolutional features are extracted; a deep convolutional feature-based dichotomy problem is solved, state identification is carried out on the main parts of the face of the user, and then real-time symmetry detection and anomaly detection are carried out on the main parts; and the eye state time sequence of the user is recorded, and the sampling frequency of a monitoring camera is adjusted in real time. With the method of the invention adopted, real-time face detection on face symmetry and anomaly can be carried out accurately under conditions of different lighting conditions and different users. The method has high stability and high universality.

A device for generating signal by detecting facial movement and operating method thereof is provided, which includes: an image capture unit, and a processing unit. The image capture unit for obtaining an image series. The processing unit receives the images series from the image capture unit, wherein the processing unit includes an image background removal module, an image extracting module, and a comparator, wherein the image background removing module processes each of the image series respectively to obtain a facial image, wherein the feature location module determines a location of a pair of nostrils in the facial image, defines a mouth searching frame, and acquires a data of mouth movements through the mouth searching frame, wherein the comparator compares the data of mouth movements with predetermined facial information, and generates a designated signal according to the comparison result.

The present invention relates to computer capture of object motion. More specifically, embodiments of the present invention relate to capturing of facial movement or performance of an actor. Embodiments of the present invention provide a mounting bracket for a head-mounted motion capture camera system. In many embodiments, the mounting bracket includes a helmet that is positioned on the actor's head and mounting rods on either side of the helmet that project toward the front of the actor that may be flexibly repositioned. Cameras positioned on the mounting rods capture images of the actor's face.

A remote face monitoring system and method, which includes a focus camera and a processing unit connected to the focus camera. The focusing camera is used to shoot a preset environment. The processing unit is used to load and execute the following programs: a face detection module detects the face features in the image from the image of the preset environment, and triggers a control command within a preset time; and a face The motion recognition module continuously captures the specific motion information of the face feature when receiving the control instruction, and triggers a distress signal to be sent to the background center when the specific motion information matches a preset information.

The invention relates to a multi-domain fusion micro-expression detection method based on a motion unit, and the method comprises the steps: (1) carrying out the preprocessing of a micro-expression video: obtaining a video frame sequence, carrying out the face detection and positioning, and carrying out the face alignment; (2) performing motion unit detection on the video frame sequence to obtainmotion unit information of the video frame sequence; (3) according to the motion unit information, finding out a facial motion unit sub-block containing the maximum micro-expression motion unit information amount ME as a micro-expression detection area through a semi-decision algorithm, and meanwhile, extracting a plurality of peak frames of the micro-expression motion unit information amount ME as reference climax frames of micro-expression detection by setting a dynamic threshold value; and (4) realizing micro-expression detection through a multi-domain fusion micro-expression detection method. According to the method, the influence of redundant information on micro-expression detection is reduced, the calculated amount is reduced, and the micro-expression detection has higher comprehensive discrimination capability. The calculation speed is high, and the micro-expression detection precision is high.