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1 results about "Eigenface" patented technology
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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