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3 results about "Eigenface" patented technology

Eigenfaces is the name given to a set of eigenvectors when they are used in the computer vision problem of human face recognition. The approach of using eigenfaces for recognition was developed by Sirovich and Kirby (1987) and used by Matthew Turk and Alex Pentland in face classification. The eigenvectors are derived from the covariance matrix of the probability distribution over the high-dimensional vector space of face images. The eigenfaces themselves form a basis set of all images used to construct the covariance matrix. This produces dimension reduction by allowing the smaller set of basis images to represent the original training images. Classification can be achieved by comparing how faces are represented by the basis set.

Face image generation method and device with face attribute

The application relates to the field of IT applications and provides a face image generation method and device with face attributes and application thereof. The method comprises the following steps: obtaining a target face attribute image and a face image to be edited; inputting the target face attribute image and the face image to be edited into a face image generation network to obtain a target face image generated by the face image generation network; the face image generation network is used for generating the target face image based on the target face attribute image and the face image to be edited; wherein the face image generation network is trained based on a face sample image set, a feature face sample image set and a sample face attribute image extracted from the feature face sample image set. The method provided in the application can solve the technical problem that the appearance form of the face attribute on the generated face image is uncontrollable, and the generation efficiency of the face image with the face attribute is improved.
Owner:CHINA MOBILE (XIONGAN) ICT CO LTD +2

A face image processing method and device and a storage medium

Embodiments of the present application relate to the technical field of computer vision, and provide a face image processing method and device and a storage medium, the method comprising: obtaining candidate face feature coefficients of a first user; obtaining a candidate face shape and a candidate face texture according to the candidate face feature coefficients, a preset eigenface, an average face shape and an average face texture vector; generating a candidate adversarial patch based on the candidate face shape and the candidate face texture; obtaining a candidate adversarial sample, the candidate adversarial sample being obtained by superimposing the candidate adversarial patch and an attacker face image of a second user; obtaining a similarity between the candidate adversarial sample and a target face image; if the similarity is less than a preset value, updating the candidate feature coefficients and the candidate adversarial patch until the similarity is greater than the preset value, and outputting the candidate adversarial patch at this time as a target adversarial patch. The present scheme can improve the adversarial property of the adversarial patch and avoid reducing the attack effect due to deformation or face fitting degree.
Owner:BEIJING REALAI TECH CO LTD

Face database construction and updating method and device based on mobile terminal and storage medium

The present application relates to face recognition technology, in particular to a face database building and updating method and device based on mobile terminal and a storage medium, the method comprising: uploading dynamic video and face photos of the face through the mobile terminal; extracting three-dimensional geometric features of the face through the dynamic video, generating corresponding three-dimensional feature faces according to the three-dimensional geometric features and the reference photos, and storing the three-dimensional feature faces into the face database; simulating the three-dimensional feature faces according to the light intensity, angle, shielding state, skin color and age information of the reference photos, comparing the similarity of the reference photos and the simulated three-dimensional feature faces; and replacing the three-dimensional feature faces stored in the face database through the judgment of the first similarity threshold and the second similarity threshold. The present application reduces the difficulty of collecting the face database and improves the accuracy and comprehensiveness of face recognition.
Owner:WUHAN ID TECH CO LTD