Samsung Electronics Co., Ltd.

Electronics and Telecommunications Research Institute

Sungkyunkwan University

Je-Han Yoon

Hyun-Soo Kim

Hyun-Sik Shim

Young-Hee Park

Hee-Jun Song

Ji-Hyo Lee

Hyung-Jin Bae

Woo-Han Yun

Do-Hyung Kim

Dong-Hyun Kim

Jung-Hoon Park

Sang-ok Cha

Kwang-Cheol Choi

Jae-Yeon Lee

Young-ri Kim

Su-Young Chi

Seung-Hun Jin

Jeong-Heui Cho

Jae-Wook Jeon

Tae-Houn Song

Cong-Thien Pham

Duc-Dung Nguyen

Soo-Young Chi

A method of an electronic device is provided. The method includes generating a key code by receiving a selection on at least one area from among areas of an image displayed, decrypting an encrypted message included in the image by using the generated key code, and determining whether to output the encrypted message by determining whether a hash code for the decrypted message is identical to a hash code for inputted text information.

Electronic device and method for extracting encrypted message

A method and apparatus is capable of processing a sensory effect of image data. The apparatus includes an image analyzer that analyzes depth information and texture information about at least one object included in an image. A motion analyzer analyzes a motion of a user. An image matching processor matches the motion of the user to the image. An image output unit outputs the image to which the motion of the user is matched, and a sensory effect output unit outputs a texture of an object touched by the body of the user to the body of the user.

Apparatus and method for processing sensory effect of image data

Provided is an apparatus and method for sensing a three-dimensional (3D) object. The apparatus includes a display unit including a first sensing space in which a sensitivity with respect to a proximity touch is higher than a threshold value and a second sensing space in which a sensitivity with respect to the proximity touch is lower than the threshold value, on a stereoscopic space on which at least one 3D object is disposed and a controller for moving predetermined 3D objects in a predetermined direction if a proximity touch is generated on the second sensing space, detecting coordinates of a 3D object corresponding to a proximity touch generated on the first sensing space if the proximity touch generated on the second sensing space is moved and generated on the first sensing space, and performing a function corresponding to the 3D object.

Apparatus and method for sensing 3D object

A method for implementing a multi-vision system by using a plurality of portable terminals, wherein, if a user applies a touch input to each of the plurality of portable terminals in a state in which the plurality of portable terminals are disposed, each of the plurality of portable terminals transmits information relating to the touch input to a multi-vision controller, and the multi-vision controller determines how the plurality of portable terminals have been disposed by using the touch input information and then transmits picture division information indicating a respective content portion to be displayed by each portable terminal to the plurality of portable terminals, and thus, the user can conveniently and quickly implement the multi-vision system by using the plurality of portable terminals and can select an optimized disposition of the plurality of portable terminals based on the characteristics of the content.

Method and apparatus for implementing multi-vision system by using multiple portable terminals

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.

Apparatus and method for image recognition of facial areas in photographic images from a digital camera

An apparatus and method can effectively detect both hands and hand shape of a user from images input through cameras. A skin image detecting skin regions from one of the input images and a stereoscopic distance image are used. For hand detection, background and noise are eliminated from a combined image of the skin image and the distance image and regions corresponding to actual both hands are detected from effective images having a high probability of hands. For hand shape detection, a non-skin region is eliminated from the skin image based on the stereoscopic distance information, hand shape candidate regions are detected from the remaining region after elimination, and finally a hand shape is determined.

Apparatus and method for detecting hands of subject in real time

A system and method for motion control of a humanoid robot are provided. The system includes a remote controller for recognizing three-dimensional image information including two-dimensional information and distance information of a user, determining first and second reference points on the basis of the three-dimensional image information, calculating variation in angle of a joint on the basis of three-dimensional coordinates of the first and second reference points, and transmitting a joint control signal through a wired/wireless network. The system also includes a robot for checking joint control data from the joint control signal received from the remote controller and varying an angle of the joint to move according to the user's motion.

System and method for motion control of humanoid robot

A method and apparatus controls an output level of a voice signal for video telephony by considering the distance between a user and a terminal and surrounding noises. An input image signal and an input voice signal of the user to be used for the video telephony are received at the user's terminal. A received image signal and a received voice signal received from the other party's terminal to which the video telephony is connected, are output on the user's terminal. The user's face region included in the input image signal is extracted. A size information of the extracted face region is checked. A distance information about a distance from the user is checked using the size information. And an output level of the received voice signal is controlled based on the distance information.

Method and apparatus for controlling output level of voice signal during video telephony

A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model database. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.

Face recognition system and method based on adaptive learning

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.

System and method for verifying face of user using light mask

Disclosed is a method and an apparatus for informing a user of an image recognition error in an imaging system. The method includes detecting environmental factors causing errors of image recognition when image recognition is requested by the user, calculating analysis indices corresponding to the environmental factors, perceiving whether image recognition is suitably performed by checking whether the analysis indices are included in a normal range of predetermined reference values, and informing the user of the suitability or the unsuitability of image recognition.

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Seongnam-si, South Korea

Je-Han Yoon