Abstract: Provided is an apparatus and method for extracting a movement path, the movement path extracting apparatus including an image receiver to receive an image from a camera group in which a mutual positional relationship among cameras is fixed, a geographic coordinates receiver to receive geographic coordinates of a moving object on which the camera group is fixed, and a movement path extractor to extract a movement path of the camera group based on a direction and a position of a reference camera of the camera group using the image and the geographic coordinates.

Abstract: An apparatus for determining image data is disclosed, the apparatus including an image data identifier to evaluate a state change resulting from blocking or opening of a sensor, and identify a stabilized state of image data of the sensor in an opened state, and an image data determiner to receive image data identified to be the stabilized state, and determine the received image data to be image data absent an occurrence of interference between the sensor and another sensor through an integrity assessment of the image data.

Abstract: A method of deforming a shape of a human body model includes the steps of reorganizing human body model data into a joint-skeleton structure-based Non-Uniform Rational B-spline (NURBS) surface model, generating statistical deformation information about control parameters of the NURBS surface model based on parameters of joints and key section curves for specific motions, and deforming the shape of the human body model based on the NURBS surface model and the statistical deformation information. The human body model data includes three-dimensional (3D) human body scan data and a 3D polygon mesh.

Abstract: A primitive fitting apparatus is provided. The primitive fitting apparatus may include a selecting unit to receive, from a user, a selection of points used to fit a primitive a user desires to fit from a point cloud, an identifying unit to receive a selection of the primitive from the user and to identify the selected primitive, and a fitting unit to fit the primitive to correspond to the points, using the points and primitive.

Abstract: Disclosed herein is a motion capture apparatus and method. The motion capture apparatus includes a three-dimensional (3D) appearance reconstruction unit for reconstructing a 3D appearance of an entity using a multi-view image obtained by capturing the entity at a T+1-th frame. A 3D skeleton generation unit generates a 3D skeleton of the T+1-th frame using the 3D appearance and a model of the entity having a motion of a T-th frame. A motion reconstruction unit reconstructs a motion of the T+1-th frame of the model by changing the motion of the model based on the 3D skeleton of the T+1-th frame.

Abstract: A view image providing device and method are provided. The view image providing device may include a panorama image generation unit to generate a panorama image using a cube map including a margin area by obtaining an omnidirectional image, a mesh information generation unit to generate 3-dimensional (3D) mesh information that uses the panorama image as a texture by obtaining 3D data, and a user data rendering unit to render the panorama image and the mesh information into user data according to a position and direction input by a user.

Abstract: Disclosed is a method and apparatus for creating a three-dimensional (3D) montage. The apparatus for creating a 3D montage may include an image information extraction unit to extract image information from a face image to be reconstructed, using a face area based on statistical feature information and a feature vector, a 3D unique face reconstruction unit to reconstruct a 3D unique face model by fitting a 3D standard face model to face images of each view for the face image and feature information of each part for the face area, a 3D montage model generation unit to generate a 3D montage model by combining the reconstructed 3D unique face model with 3D face expression model information and 3D decoration model information, and a montage image generation unit to generate a montage image by projecting the generated 3D montage model from each view.

Abstract: Provided is a method and apparatus for generating a three-dimensional (3D) caricature. The apparatus for generating a 3D caricature may include a 3D face data generation unit to generate 3D face data of a user corresponding to a shape and a texture of a face of the user, a 3D unique face model generation unit to generate a 3D unique face model using a shape and a texture of a unique face based on the 3D face data and a reference face, and a 3D caricature generation unit to generate a 3D caricature using the 3D unique face model and a caricature base face model.

Abstract: A 3D avatar output device and method are disclosed. The 3D avatar output device of a vending machine type may include an input data receiving unit to receive input data including at least one of user information, a 3D avatar theme, and a 3D avatar output form; an image obtaining unit to obtain an image of a user through a camera included in the 3D avatar output device; a restoration model generation unit to generate a restoration model by extracting a facial area from the obtained image; a unique model generation unit to generate a unique model of the user based on the input data and the restoration model; and a 3D avatar output unit to generate a 3D avatar corresponding to the unique model and output the 3D avatar according to the 3D avatar output form.

Abstract: A method of fitting a virtual item using a human body model and a system for providing a fitting service of a virtual item are provided, the method including determining whether a user is located in an experience area, loading a three-dimensional (3D) standard avatar corresponding to setting information input by the user when the user is located in the trial area, obtaining a depth image of the user corresponding to a preset posture, transforming the 3D standard avatar into a user avatar reflecting body characteristics of the user, using a depth image of the user, fitting a virtual item selected by the user to the user avatar, and applying a motion of the user changing in real time to the user avatar to which the virtual item is fitted.

Abstract: The present invention relates to a method of creating an animatable digital clone includes receiving input multi-view images of an actor captured by at least two cameras and reconstructing a three-dimensional appearance therefrom, accepting shape information selectively based on a probability of photo-consistency in the input multi-view images obtained from the reconstruction and transferring a mesh topology of a reference human body model onto a shape of the actor obtained from the reconstruction. The method further includes generating an initial human body model of the actor via transfer of the mesh topology utilizing sectional shape information of the actor's joints, and generating a genuine human body model of the actor from learning genuine behavioral characteristics of the actor by applying the initial human body model to multi-view posture learning images where performance of a predefined motion by the actor is recorded.

Abstract: A 3-dimensional (3D) whole shape reconstruction apparatus using a depth image and a color image and a 3D whole shape reconstruction method are provided. The 3D whole shape reconstruction apparatus may include an information generation unit to generate shape information of 3D portions using a depth image and a color image, and a shape reconstruction unit to reconstruct a 3D whole shape of a user by matching the shape information of 3D portions.

Abstract: Disclosed is a method of calibrating a depth image based on a relationship between a depth sensor and a color camera, and an apparatus for calibrating a depth image may include a three-dimensional (3D) point determiner to determine a 3D point of a camera image and a 3D point of a depth image simultaneously captured with the camera image, a calibration information determiner to determine calibration information for calibrating an error of a depth image captured by the depth sensor and a geometric information between the depth sensor and a color camera, using the 3D point of the camera image and the 3D point of the depth image, and a depth image calibrator to calibrate the depth image based on the calibration information and the 3D point of the depth image.

Abstract: The present invention relates to a method and apparatus for capturing a motion of a dynamic object, and restore appearance information of an object making a dynamic motion and motion information of main joints from multi-viewpoint video images of motion information of a dynamic object such as a human body, making a motion through a motion of a skeletal structure on the basis of the skeletal structure, acquired by using multiple cameras. According to the exemplary embodiments of the present invention, it is possible to restore motion information of the object making a dynamic motion by using only an image sensor for a visible light range and to reproduce a multi-viewpoint image by effectively storing the restored information. Further, it is possible to restore motion information of the dynamic object without attaching a specific marker.

Abstract: A method of providing a service using a user description, a service description, and a contents description may include: receiving first user information from a first user description including first user information; receiving environment information from the contents description including environment information; selecting optimal service information from the service description including service information based on at least one of the first user information and the environment information; and providing a service corresponding to the selected optimal service information to a first user.

Abstract: Provided is a method for automatic rigging and shape surface transfer of a 3-D standard mesh model based on muscles and Nurbs by using parametric control. In some embodiments, the method includes: extracting a joint-skeleton structure from scan data of dynamic objects having a skeleton structure, or input 3-D mesh models, generating a muscle and an appearance surface based on anatomy information, and generating a standard mesh model that approximates the appearance of the dynamic objects by using the joint-skeleton structure and the generated muscle and appearance surface; and performing the shape surface transfer of the standard mesh model by comparing multi-view image information of the dynamic objects with projection image information of the standard mesh model.

Abstract: Provided is a method of managing contents in a social networking service, the method including storing information about each of a plurality of users participating in the social networking service, in a table structured based on a predetermined syntax, receiving a search request from a first user among the plurality of users, providing the first user with contents owned by a second user, as a search result corresponding to the search request, by referring to the structured table, receiving an additional search request from the first user, and providing the first user with additional contents owned by the second user, as a search result corresponding to the search request, by referring to the structured table.

Abstract: Disclosed herein is a camera calibration apparatus. The camera calibration apparatus includes an image reception unit and a camera calibration unit. The image reception unit receives images, in which a same background is captured, from respective cameras placed at locations which are different from each other. The camera calibration unit calculates an entire matrix using canonic topographies for all parallelograms located on respective surfaces which are different from each other within each of the images, and calculates infinite hymnographies between the cameras using the entire matrix at the same time.

Abstract: Embodiments of the present invention provide methods and apparatuses for segmenting multi-view images into foreground and background based on a codebook. For example, in some embodiments, an apparatus is provided that includes: (a) a background model generation unit for extracting a codebook from multi-view background images and generating codeword mapping tables operating in conjunction with the codebook; and (b) a foreground and background segmentation unit for segmenting multi-view images into foreground and background using the codebook and the codeword mapping tables.

Abstract: Disclosed are an apparatus and a method of producing a 3D model in which a 3D model having a static background is produced using a point cloud and an image obtained through 3D scanning. The apparatus includes an image matching unit for producing a matched image by matching a point cloud obtained by scanning a predetermined region to a camera image obtained by photographing the predetermined region; a mesh model processing unit for producing an object positioned in the region as a mesh model; and a 3D model processing unit for producing a 3D model for the object by reflecting texture information obtained from the matched image to the mesh model. The disclosed may be used for a 3D map service.