摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
A auto-recording method is disclosed for auto-recording further to user request, via generating user image and voice data, extracting feature points from the image data according to pre-defined user recognition and following by considering the user as an object of following according to extracted feature points, determining whether the image and voice data satisfy a recording reference needed to perform recording. If determined that the image and voice data satisfy the recording reference, editing the image and voice data in a pre-set edit form and generating and storing at least one of recording image and recording voice data.
摘要:
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.
摘要:
A portable terminal is configured to recognize an image such as a hand shape. The portable terminal includes a motion detection unit that includes a trainer capable of generating uniform training image data to collectively generate a plurality of images of a desired region obtained from an original image in an identical posture and an identical size, and performing a training process to prevent a feature point from being generated in a portion where detection is unnecessary in the generated training image data, and a detector capable of detecting a rotated object from input data, after the training process.