6 results about "Aging face" patented technology

The invention discloses a face generation data screening method and system based on prior modulation and clustering guidance. The method comprises the following steps: firstly, constructing a modulation factor dynamically adjusted along with an initial age group and an age span according to a real cross-age data rule; performing feature extraction, standardization and clustering on the generated image, and identifying a high intra-class change cluster and a high inter-class confusion cluster; respectively calculating the intra-class distance between the intra-cluster sample and the corresponding original image, and selecting the most confused negative sample according to the clustering relationship to calculate the inter-class distance; subtracting the inter-class distance from the modulated intra-class distance to obtain a prior modulation distance metric value; and finally, sorting and screening an optimal sample according to the metric value, and constructing a high-quality enhanced data set. According to the method, biological prior and feature space clustering guidance are fused, generated data conforming to an age change rule and having discrimination challenging can be automatically screened out, and the precision and robustness of a cross-age face recognition model are effectively improved.

This invention relates to a cross-age face recognition method, system, processing device, and storage medium, comprising: when verifying whether two face images of different ages belong to the same person, using a pre-trained baseline face recognition model to extract the baseline feature vectors of the two face images, wherein the age of the face image is and the age of the face image is ; using a trained aging flow module, through multi-step numerical integration, simulating the aging process of the face image, transforming the face image from age to , obtaining the transformed feature vector of the face image; calculating the cosine similarity score between the transformed feature vector of the face image and the baseline feature vector of the face image; comparing the calculated cosine similarity score with a pre-set threshold, if it is greater than the threshold, then the identities of the people in the two face images are consistent; otherwise, they are inconsistent. This invention can be widely applied in the fields of computer vision and artificial intelligence.

The embodiment of the invention provides a cross-age face recognition method and device, electronic equipment, a computer storage medium and a computer program product. The method comprises the steps that a prediction data set and a face real image of a first user in a first age group are acquired; the prediction data set comprises a face image of a second user in a second age group and various factor data influencing the face change of the second user; performing feature extraction on the prediction data set to obtain a prediction feature set, and processing the prediction feature set by using the trained face prediction model to obtain a face prediction result of the second user in the first age group; determining the similarity between the face prediction result and the face real image; determining whether the first user and the second user are the same user according to the similarity; according to the embodiment of the invention, when the cross-age face is predicted, not only is the face image considered, but also multiple factor data influencing the face change of the user are considered, so that the recognition accuracy of the cross-age face can be improved.

The application discloses a low-age face aging method based on age and key point guidance generation, and mainly solves the problems that the prior art cannot generate high-quality aging images for low-age faces and cannot simultaneously maintain the efficiency of a processing procedure and the accuracy of a target. The implementation scheme is as follows: a training set and a test set of face images of 0-20 years old are constructed, and a corresponding age label is given to each picture; key point detection is performed on the training set, and the detection result is converted into a Gaussian distribution graph; a face image generation adversarial network based on key point information guidance and cycle condition generation is constructed; a continuous age conversion loss is designed, and a network overall loss is constructed; the network is trained by using the training set and the Gaussian distribution graph until the overall loss converges; and the test set is loaded into the trained network to generate face images at each age stage. The application can generate higher-quality aging images for low-age faces and improve the naturalness of generated images.

The invention relates to an anti-initial-aging face cream composition with a liquid crystal emulsification effect and a preparation method of the anti-initial-aging face cream composition. The composition comprises an emulsifier (such as polyglycerol-10 stearate and / or polyglycerol-5 oleate and 7-dehydrocholesterol), a thickening agent, grease, a solvent, a preservative and a plurality of natural effective components (such as a calendula extract, a raspberry leaf extract, DNA sodium and the like). A stable and ordered liquid crystal structure is formed through preparation by a PI T phase transformation method, and the effective existence time exceeds 6 months. The face cream can help cells to resist irritation, repair cell damage and coordinate skin functions, achieves the effects of resisting wrinkles, preserving moisture, resisting oxidation, brightening skin color and the like, meanwhile reduces irritation, improves skin feeling and is suitable for being used for a long time. The preparation method is simple, the addition amount of glycerin is small, the face cream is fresh and non-sticky in texture, and the active ingredients have a strong synergistic effect.

The application discloses a kind of tetrahydropiperine-containing anti-aging face cream active substance transdermal penetration effect evaluation method, belongs to the technical field of skin penetration detection and analysis, comprising the following steps: keratinocytes are inoculated on the upper surface of porous membrane, fibroblasts are inoculated on the lower surface of the porous membrane, and skin analog with complete layered structure is formed by co-culture;Apply the anti-aging face cream containing tetrahydropiperine to be tested on the upper surface of the skin analog, and continuously monitor the concentration of the target efficacy active substance at the depth of the efficacy target point with time as the starting point;By culturing keratinocytes and fibroblasts on both sides of the porous membrane respectively, a skin analog with complete layered structure is formed, and an anti-aging face cream containing tetrahydropiperine to be tested is applied to its surface, and the concentration change of the target efficacy active substance at the depth of the efficacy target point is continuously obtained.