Abstract: Disclosed herein are an object recognition system and method which extract left and right feature vectors from a stereo image of an object, find feature vectors which are present in both the extracted left and right feature vectors, compare information about the left and right feature vectors and the feature vectors present in both the extracted left and right feature vectors with information stored in a database, extract information of the object, and recognize the object.

Abstract: A robot and a method of controlling the same are disclosed. The robot determines a presence or absence of a non-registration object if a registered object is not present in a photographing area, obtains an object name by communicating with a user if the presence of the non-registration object is decided, and additionally registers the object name in a database. Therefore, the robot recognizes the non-registration object present in the photographing area.

Abstract: Disclosed is an apparatus for photographing an image using a digital camera capable of providing a preview image, including: an image sensor for capturing an image of a subject; a first image signal processor for processing at least one captured image as a sequent image in order to display the captured image as a preview image on a display window and detecting a face area from the captured image; a buffer for storing the image including at least one detected face area; a capture button for capturing a still image during outputting the sequent image as the preview image on the display window; a second image signal processor for processing the captured still image using the capture button; a controller for controlling to store the captured still image and information related on the face area detected from the first image signal processor prior to the input of the capture button; and a memory for storing the processed still image together with the information related on the detected face area.

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.