Abstract: A method and apparatus for taking a picture are provided, in which a mobile apparatus detects a current position of a mobile apparatus, moves from the current position to a predetermined position to take a picture, information about an ambient image around the mobile apparatus through the image sensor, after the movement, analyzes characteristics of the received image information, compares the analyzed characteristics with a predetermined picture-taking condition, controls the mobile apparatus for the characteristics of the image information to satisfy the predetermined picture-taking condition, if the characteristics of the image information do not satisfy the predetermined picture-taking condition, and takes a picture, if the characteristics of the image information satisfy the predetermined picture-taking condition.

Abstract: A system and method for verifying the face of a user using a light mask are provided. The system includes a facial feature extraction unit for extracting a facial feature vector from a facial image received from a camera. A non-user Gaussian Mixture Model (GMM) configuration unit generates a non-user GMM from a facial image stored in a non-user database (DB). A user GMM configuration unit generates a user GMM by applying light masks to a facial image stored in a user DB. A log-likelihood value calculation unit inputs the facial feature vector both to the non-user GMM and to the user GMM, thus calculating log-likelihood values. A user verification unit compares the calculated log-likelihood values with a predetermined threshold, thus verifying whether the received facial image is a facial image of the user.