Abstract:
A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.
Abstract:
A method of detecting a biometric region, the method including receiving an input image; setting a plurality of regions of interest (ROI) corresponding to a plurality classifiers, respectively, the plurality of classifiers corresponding to a plurality of multi-stages, respectively, the plurality of ROIs having different sizes with respect to each other, each ROI of the plurality of ROIs including a biometric region of the input image; calculating a plurality of similarity values for the plurality of classifiers, respectively, based on the ROIs corresponding to the plurality of classifiers from among the plurality of ROIs; and detecting a first biometric region for a user authentication based on at least one of the plurality of similarity values.
Abstract:
A method and an apparatus for extracting a facial feature and a method and an apparatus for recognizing a face are provided, in which the apparatus for extracting a facial feature may extract facial landmarks from a current input image, sample a skin region and a facial component region based on the extracted facial landmarks, generate a probabilistic model associated with the sampled skin region and the facial component region, extract the facial component region from a face region included in the input image using the generated probabilistic model, and extract facial feature information from the extracted facial component region.