Abstract: A virtual world processing apparatus and method. Sensed information, which is information collected by a sensor is inputted. The sensed information is adapted, based on a sensor capability, which is information on capability of the sensor. Accordingly, interoperability between a real world and a virtual world or interoperability between virtual worlds may be achieved.

Abstract: A sensing module, and a Graphical User Interface (GUI) control apparatus and method are provided. The sensing module may be inserted into an input device, for example a keyboard, a mouse, a remote controller, and the like, and may sense a hovering movement of a hand of a user within a sensing area, and thus it is possible to provide an interface to control a wider variety of GUIs, and possible to prevent a display from being covered.

Abstract: An apparatus for detecting an interfacing region in a depth image detects the interfacing region based on a depth of a first region and a depth of a second region which is an external region of the first region in a depth image.

Abstract: In an apparatus and method for controlling an interface, a user interface (UI) may be controlled using information on a hand motion and a gaze of a user without separate tools such as a mouse and a keyboard. That is, the UI control method provides more intuitive, immersive, and united control of the UI. Since a region of interest (ROI) sensing the hand motion of the user is calculated using a UI object that is controlled based on the hand motion within the ROI, the user may control the UI object in the same method and feel regardless of a distance from the user to a sensor. In addition, since positions and directions of view points are adjusted based on a position and direction of the gaze, a binocular 2D/3D image based on motion parallax may be provided.

Abstract: A video object detecting apparatus enables a user to not only simply watch the video but also to explore a video using a motion and a posture of the user. In addition, the user may manipulate the video using body motion instead of general input units such as a mouse and a touch system. Also, a video object deforming apparatus enables the user to recognize a difference in motions between an interactive video and the user, and provides the user with a video reflecting the difference.

Abstract: An apparatus recognizes an object using a hole in a depth image. An apparatus may include a foreground extractor to extract a foreground from the depth image, a hole determiner to determine whether a hole is present in the depth image, based on the foreground and a color image, a feature vector generator to generate a feature vector, by generating a plurality of features corresponding to the object based on the foreground and the hole, and an object recognizer to recognize the object, based on the generated feature vector and at least one reference feature vector.

Abstract: A device and method for processing virtual worlds. According to embodiments of the present disclosure, information which is measured from the real world using characteristics of a sensor is transferred to a virtual world, to thereby implement an interaction between the real world and the virtual world. The disclosed device and method for processing virtual worlds involve selectively transferring information, from among the measured information, which is different from previously measured information. The disclosed device and method for processing virtual worlds involve transferring the entire measured information in the event that the measured information is significantly different from the previously measured information and for selectively transferring information, from among the measured information, which is different from the measured information in the event that the difference is not significant.

Abstract: A virtual world processing apparatus and method. An angle value is obtained by measuring an angle of a body part of a user of a real world using sensor capability, which is information on capability of a bending sensor, and is transmitted to a virtual world, thereby achieving interaction between the real world and the virtual world. In addition, based on the sensor capability and the angle value denoting the angle of the body part, control information is generated to control a part of an avatar of the virtual world, corresponding to the body part, and then transmitted to the virtual world. Accordingly, interaction between the real world and the virtual world is achieved.

Abstract: A display information controlling apparatus and method are provided. The display information controlling apparatus may select at least one object from one or more objects based on a location of each of the one or more objects on a display and a location on the display corresponding to a user input signal. The display information controlling apparatus may perform a predetermined operation corresponding to the selected at least one object.

Abstract: A virtual world processing apparatus and method. Sensed information, which is information collected by a sensor is inputted. The sensed information is adapted, based on a sensor capability, which is information on capability of the sensor. Accordingly, interoperability between a real world and a virtual world or interoperability between virtual worlds may be achieved.

Abstract: An object recognition system is provided. The object recognition system for recognizing an object may include an input unit to receive, as an input, a depth image representing an object to be analyzed, and a processing unit to recognize a visible object part and a hidden object part of the object, from the depth image, by using a classification tree. The object recognition system may include a classification tree learning apparatus to generate the classification tree.

Abstract: An apparatus, system, and method for controlling a virtual object. The virtual object is controlled by detecting a hand motion of a user and generating an event corresponding to the hand motion. Accordingly, the user may control the virtual object displayed on a 3-dimensional graphic user interface (3D GUI) more intuitively and efficiently.

Abstract: An apparatus and method for processing a virtual world. According to certain embodiments of the present disclosure, real-world biometric information on the user may be collected using a bio sensor, and the collected information may be controlled based on the sensor characteristics of the bio sensor, thereby enabling interaction between the real world and the virtual world, as well as between virtual worlds. In addition, an interactive game which is executed in the virtual world on the basis of the collected biometric information may be controlled to thereby produce a virtual world having enhanced realism. Moreover, the real-world health status of a user may be determined and displayed on the basis of the collected biometric information, thereby enabling the health status of the user to be seen.

Abstract: A user authentication method includes extracting a facial landmark from each of a first input image and a second input image; generating a first sparse code of the facial landmark extracted from the first input image and a second sparse code of the facial landmark extracted from the second input image; and determining whether a user is to be authenticated based on the first sparse code of the first input image and the second sparse code of the second input image.

Abstract: A user recognition method includes extracting a user feature of a current user from input data, estimating an identifier of the current user based on the extracted user feature, and generating the identifier of the current user in response to an absence of an identifier corresponding to the current user and controlling an updating of user data based on the generated identifier and the extracted user feature.

Abstract: An object recognition system is provided. The object recognition system for recognizing an object may include an input unit to receive, as an input, a depth image representing an object to be analyzed, and a processing unit to recognize a visible object part and a hidden object part of the object, from the depth image, by using a classification tree. The object recognition system may include a classification tree learning apparatus to generate the classification tree.

Abstract: A content recommendation method and device for recommending content to a user are disclosed. According to one embodiment, the content recommendation device extracts the features of a user from image data, audio data and the like, and can determine a recognition rate indicating the degree that is recognized as a user model predetermined according to the features of the user. The content recommendation device can determine the recommended content to be provided to the user on the basis of the determined recognition rate.

Abstract: A method of generating three-dimensional (3D) volumetric data may be performed by generating a multilayer image, generating volume information and a type of a visible part of an object, based on the generated multilayer image, and generating volume information and a type of an invisible part of the object, based on the generated multilayer image. The volume information and the type of each of the visible part and invisible part may be generated based on the generated multilayered image which may be include at least one of a ray-casting-based multilayer image, a chroma key screen-based multilayer image, and a primitive template-based multilayer image.

Abstract: A method of learning a parameter to estimate a posture of an articulated object, and a method of estimating the posture of the articulated object are provided. A parameter used to estimate a posture of an articulated object may be iteratively learned based on a depth feature corresponding to an iteration count, and the posture of the articulated object may be estimated based on the learned parameter.

Abstract: Provided is a feature extraction method and apparatus to extract a feature of a three-dimensional (3D) depth image. The feature extraction apparatus may generate a plurality of level sets using a depth image, and may extract a feature for each level depth image.