34 results about "Facial geometry" patented technology

The present invention is a method and system for measuring human response to retail elements, based on the shopper's facial expressions and behaviors. From a facial image sequence, the facial geometry—facial pose and facial feature positions—is estimated to facilitate the recognition of facial expressions, gaze, and demographic categories. The recognized facial expression is translated into an affective state of the shopper and the gaze is translated into the target and the level of interest of the shopper. The body image sequence is processed to identify the shopper's interaction with a given retail element—such as a product, a brand, or a category. The dynamic changes of the affective state and the interest toward the retail element measured from facial image sequence is analyzed in the context of the recognized shopper's interaction with the retail element and the demographic categories, to estimate both the shopper's changes in attitude toward the retail element and the end response—such as a purchase decision or a product rating.

The invention discloses an eye positioning and eye state recognizing method, wherein first setting an self-adaptive threshold value to pretreat a face image, according to the face geometry character, designing an eye classifier, positioning eye initially, for some edge images, based on the symmetry face and eye, accurately positioning eye, thereby providing a method for positioning face symmetry axis based on lip auxiliary positioning, then dividing one eye from a positioned eye binary picture, according to the black pixel character of pupil, judging the eye state. The inventive method has real-time property, with the application for different backgrounds, lights, rotation and bias angles, and face details or the like to position eye and recognize eye state.

The invention puts forward a facial expression synthesis method based on a generative adversarial network. The method comprises the following main contents of a geometric guidance facial expression synthesis and facial geometric operation. The process of the geometric guidance facial expression synthesis and facial geometric operation comprises the following steps that: firstly, giving a heat picture with a target facial expression and a front face without expressions to correspondingly synthesize a new face image; then, carrying out weighted summation on all loss functions to obtain a total loss function; thirdly, adopting the geometric positions of one group of datum points to guide facial expression editing, and using an expression synthesis model to obtain a facial expression transferring result; and finally, linearly regulating a shape parameter value to carry out facial expression interpolation. By use of the method, the geometric guidance generative adversarial network can be used for generating vivid images of different expressions from single image, the synthesis image is subjected to fine granularity control, facial expression transfer and interpolation can be easily carried out, and facial expression transfer and cross expression identification can be realized.

A multiview face capture system may acquire detailed facial geometry with high resolution diffuse and specular photometric information from multiple viewpoints. A lighting system may illuminate a face with polarized light from multiple directions. The light may be polarized substantially parallel to a reference axis during a parallel polarization mode of operation and substantially perpendicular to the reference axis during a perpendicular polarization mode of operation. Multiple cameras may each capture an image of the face along a materially different optical axis and have a linear polarizer configured to polarize light traveling along its optical axis in a direction that is substantially parallel to the reference axis. A controller may cause each of the cameras to capture an image of the face while the lighting system is in the parallel polarization mode of operation and again while the lighting system is in the perpendicular polarization mode of operation.

A respiratory mask for providing positive pressure therapy and a bias-flow venting system configured to reduce discernable draft generated by exhausted air are disclosed herein. The respiratory mask has a ball jointed elbow, one or more detachable forehead pieces and a headgear with a spacer fabric region. The elbow is configured to be removable when oriented to a predetermined position. The forehead pieces are provided in one or more sizes. The spacer fabric region having two or more layers wherein the raw edges are turned to the inside of the layers. The seal having improved seal performance and accommodating a wider variety of facial geometries. The bias-flow system having a tube and exhaust holes radially aligned on a bead of the tube. The bias-flow system also having an annular component exhaust holes and a shroud having a plenum chamber around the exhaust holes.

The invention discloses a method for making a makeup mask by 3D (three dimensional) printing. The method comprises the steps of A, scanning a face to be made up; b, processing data; C, preparing a makeup mask material; D, sending the fully mixed makeup mask material to a 3D printer and printing a mask completely matched with the geometrical characteristics of the face to be made up; E, performing mild laser sintering on the printed makeup mask, so as to form a nanocrystal net-structure makeup mask; F, spraying skin care components on the surface, in contact with the skin of the face, of the makeup mask subjected to the laser sintering. The method has the beneficial effects that an artistic performance performer only needs to wear the personalized makeup mask on the face before performance, and makes up on the mask; meanwhile, the inside components with skin care effects can be added in the mask in contact with the skin of the face, and skin care can be realized during performance.

The invention provides a method for human face recognition based on face geometrical features. The method includes human face feature points detection, geometrical feature construction, human face database classification and human face recognition. According to the invention, the method, based on human face detection and human face recognition technology, improves geometrical features used in the human face feature point detection method and human face recognition, and guarantees in-time and accuracy of a human face recognition system based on feature point detection which combines an active shape model and the elastic bunch graph matching algorithm and also simple and accurate face geometrical feature technology. According to the invention, the method decomposes data in a large database into a plurality of sub-databases with labels which are determined by selected classification geometrical features. As for the input image to be tested, matching data can be reduced by simply comparing classification geometrical features of the image to be tested with each sub-database label in order to greatly increase efficiency of human face recognition.

A method of facial expression generation by data fusion for a computing device of a virtual reality system is disclosed. The method comprises obtaining facial information of a user from a plurality of data sources, wherein the plurality of data sources includes a real-time data detection and a data pre-configuration, mapping the facial information to facial expression parameters for simulating facial geometry model of the user, performing a fusion process according to the facial expression parameters, to generate fusing parameters associated to the facial expression parameters with weighting, and generating a facial expression of an avatar in the virtual reality system according to the fusing parameters.

A respiratory mask for providing positive pressure therapy having ball jointed elbow, one or more detachable forehead pieces and headgear comprising a spacer fabric region is disclosed herein. The elbow is configured to be removable when oriented to a predetermined position. The forehead pieces are provided in one or more sizes. The spacer fabric region comprises two or more layers wherein the raw edges are turned to the inside of the layers. The seal comprises features that improves seal performance and accommodates a wider variety of facial geometries.

A method of generating 3D facial geometry for an avatar, used in a computing device is disclosed. The method comprises obtaining a 2D image, performing a landmark detection operation on the 2D image, to obtain at least a facial feature with landmarks, determining weightings for a plurality of classifications of the facial feature based on relative distances of the landmarks, wherein the plurality of classifications are predefined in the computing device, and generating a 3D facial model based on a 3D face template with 3D parameters corresponding to the classifications of the facial feature and the weightings.

Techniques are disclosed for creating digital faces. In some examples, an anatomical face model is generated from a data set including captured facial geometries of different individuals and associated bone geometries. A model generator segments each of the captured facial geometries into patches, compresses the segmented geometry associated with each patch to determine local deformation subspaces of the anatomical face model, and determines corresponding compressed anatomical subspaces of the anatomical face model. A sculpting application determines, based on sculpting input from a user, constraints for an optimization to determine parameter values associated with the anatomical face model. The parameter values can be used, along with the anatomical face model, to generate facial geometry that reflects the sculpting input.