Abstract: Provided is an apparatus and method for generating a stereoscopic image through installation of an external camera, the apparatus including a characteristic comparator to compare a characteristic of an internal camera module and a characteristic of the external camera module, a matching performer to perform an image characteristic matching process on the internal camera module and the external camera module when a comparison result indicates a presence of a difference in characteristics of the internal camera module and the external camera module, an image acquirer to acquire a plurality of images of an object using the internal camera module and the external camera module on which the image characteristic matching process is performed, and a stereoscopic image generator to generate a stereoscopic image by integrating the plurality of images.

Abstract: A method of converting a two-dimensional video to a three-dimensional video, the method comprising: comparing an image of an nth frame with an accumulated image until an n?1th frame in the two-dimensional video to calculate a difference in a color value for each pixel; generating a difference image including information on a change in a color value for each pixel of the nth frame; storing an accumulated image until the nth frame by accumulating the information on the change in the color value for each pixel until the nth frame; performing an operation for a pixel in which a change in a color value is equal to or larger than a predetermined level by using the difference image to generate a division image and a depth map image; and converting the image of the nth frame to a three-dimensional image by using the depth map image.

Abstract: Disclosed are an apparatus and a method for extracting a foreground layer from an image sequence that extract a foreground object layer area in which a depth value is discontinuous with that of a background from an input image sequence. By using the present disclosure, the layer area is automatically tracked in the subsequent frames through user's setting in the start frame in the image sequence in which the depth values of the foreground and the background are discontinuous, thereby extracting the foreground layer area in which the drift phenomenon and the flickering phenomenon are reduced.

Abstract: Provided is a system and method for providing a stereoscopic image by adjusting a depth value, the system including a depth value estimator to estimate a depth value of an object included in a first stereoscopic image from the stereoscopic image, a depth value adjusting unit to adjust the depth value in consideration of a display device, a stereoscopic image processing unit to process the first stereoscopic image to be a second stereoscopic image based on the adjusted depth value, and a stereoscopic image provider to provide the second stereoscopic image to the display device.

Abstract: A camera tracking apparatus including a sequence image input unit configured to obtain one or more image frames by decoding an input two-dimensional image, a two-dimensional feature point tracking unit configured to obtain a feature point track by extracting feature points from respective image frames obtained by the sequence image input unit, and comparing the extracted feature points with feature points extracted from a previous image frame, to connect feature points determined to be similar, and a three-dimensional reconstruction unit configured to reconstruct the feature point track obtained by the two-dimensional feature point tracking unit.

Abstract: An apparatus for creating a three dimensional video including a cut split unit configured to split an input two-dimensional video into two or more cuts based on a predetermined reference, a manual conversion unit configured to receive a depth value of one of frames that form each of the two or more cuts split by the cut split unit and convert the one frame into a three dimensional form, and an automatic conversion unit configured to convert other frames included in the cuts with reference to the one frame, which is converted into the three dimensional form by the manual conversion unit, into a three dimensional form.

Abstract: Disclosed are a system for producing stereoscopic images with a hole filling algorithm, and a method thereof. A system for producing stereoscopic images according to an exemplary embodiment of the present invention includes: a movement area detecting unit examining a movement area for an object moved in an image, detecting/tracking changes of the movement area by dividing a front view and a background of the movement area, and providing result information; a filling error processing unit filling a hole detected by the movement area detecting unit and correcting a filled filling region; and a stereoscopic image visualizing unit visualizing a stereoscopic image corrected by the filling error processing unit.

Abstract: A method of converting a two-dimensional video to a three-dimensional video, the method comprising: comparing an image of an nth frame with an accumulated image until an n?1th frame in the two-dimensional video to calculate a difference in a color value for each pixel; generating a difference image including information on a change in a color value for each pixel of the nth frame; storing an accumulated image until the nth frame by accumulating the information on the change in the color value for each pixel until the nth frame; performing an operation for a pixel in which a change in a color value is equal to or larger than a predetermined level by using the difference image to generate a division image and a depth map image; and converting the image of the nth frame to a three-dimensional image by using the depth map image.

Abstract: Disclosed herein are an apparatus and method for correcting an error in a stereoscopic image. The apparatus includes two cameras, a region extraction unit, a phase difference calculation unit, an error value extraction unit, and an error analysis unit. The cameras capture left and right images forming the stereoscopic image. The region extraction unit extracts the main regions of interest from each of the images. The phase difference calculation unit calculates the difference in phase between the main regions of interest of the left image and the main regions of interest of the right image. The error value extraction unit extracts the value of a camera disposition error, corresponding to locations of the two cameras, based on the difference in phase. The error analysis unit determines whether the value of the camera disposition error is within a set range, and corrects the error in the stereoscopic image.

Abstract: Disclosed herein are an apparatus and method for capturing stereographic images. The apparatus includes two cameras, a screen unit, and a processing unit. The two cameras capture left and right images, respectively. The screen unit receives a matching region between the left and right images from a user. The processing unit corrects errors corresponding to the two cameras based on the matching region, and captures a stereographic image.

Abstract: Disclosed are a system for making 3D contents provided with visual fatigue minimization and a method of the same. More particularly, an exemplary embodiment of the present invention provides a system for making 3D contents including: a human factor information unit generating guide information for making 3D contents by considering factors causing visual fatigue of the 3D contents; and a 3D contents making unit applying guide information generated by the human factor information unit to 3D contents data inputted for making the 3D contents to make the 3D contents, and a method of making 3D contents.

Abstract: Provided are a system and method for rendering hair image which smoothly and vividly render a fiber type of long and slim object like hair when creating 3D content. The system includes a sampling point setting module, a transparency determination module and a color value determination module. The sampling point setting module sets a plurality of sampling points in a hair geometry region. The transparency determination module determines transparency of a pixel the hair geometry region, on the basis of the sampling point. The color value determination module determines a color value of the pixel on the basis of shading values for each of the sampling points.

Abstract: A rendering system includes a data input unit for reading depth information of a deep render buffer obtained by rendering; a camera lens sampling unit for sampling surface data of a lens provided in a camera; a deep render buffer reconstruction unit referring to pixel location information of the deep render buffer to reconstruct a deep render buffer at a new camera position, wherein the camera position corresponds to a sampling result from the camera lens sampling unit. The rendering system further includes a render image generation unit for generating a render image at the camera position from the reconstructed deep render buffer; and an image accumulation unit for accumulating the render image at the camera position.

Abstract: A rendering apparatus for performing rendering of cylindrical objects includes: a data input unit image transmitting rendering data of individuals of the cylindrical objects which are classified by thickness when three dimensional model data of the cylindrical objects is input; a first rendering unit for performing an alpha line rendering for thin individuals of the cylindrical objects which are classified by thickness; and a second rendering unit for performing a ribbon triangulation rendering for thick individuals of the cylindrical objects which are classified by thickness. Further, the rendering apparatus includes a storage for integrating first rendering result data transmitted from the first rendering unit with second rendering result data transmitted from the second rendering unit to transmit final rendering result data; and a rendering output unit for outputting the final rendering result data.

Abstract: The rendering system for rendering input image data to composite an image includes an image input unit, an image rendering unit, an image compositing unit. The image input unit subdivides input image data into data segments of a size corresponding to the memory capacity of the rendering system to load the data segments one at a time. The image rendering unit renders the data segments in sequence, and sequentially stores rendering pixel information associated with the rendered results in a buffer. The image compositing unit compares two pieces of stored rendering pixel information to each other as previous rendering pixel information and current rendering pixel information, updates rendering pixel information according to the comparison result, and composites a final image according to the updated rendering pixel information.