Abstract: A polyethylene glycol derivative compound is represented by Formula 1 described in the detailed description. In Formula 1, n is a natural number of 30 to 115, and R1 and R2 are C1 to C5 alkyl that are identical to or different from each other.

Abstract: An image processor, a lighting processor, and a method therefore are provided. According to one aspect of the invention, the lighting processor can extract information related to defuse lighting applied to a real object using a colored image and a depth image of the real object. The lighting processor can recover the diffuse image for the real object using the extracted information related to diffuse lighting, and generate either a speculum image or a shadow image using the recovered diffuse image and the colored image.

Abstract: Provided is a method and apparatus that may generate a three-dimensional (3D) object from a two-dimensional (2D) image, and render the generated 3D object. Light source information may be extracted from the 2D image using a characteristic of the 2D image, and property information associated with the 2D image may be extracted based on the light source information. In particular, specular information, scattering information, and the like may be stored in a database using a plurality of samples. Since pecular information or scattering information similar to an input image may be retrieved from the data base, property information may be quickly extracted.

Abstract: Provided is a method and apparatus for realistically reproducing an eyeball that may verify and analyze a material property and a deformation property with respect to each of constituent portions of an eyeball and may render each of the constituent portions based on the analyzed priorities, thereby more realistically reproducing the eyeball.

Abstract: An apparatus for image matching between multiview cameras includes a pattern model storing unit to store a pattern model, a matching processing unit to match the stored pattern model with a point cloud obtained by at least one depth camera, and a parameter obtaining unit to obtain a parameter for each of the at least one depth camera, based on a result of the matching.

Abstract: An apparatus and method for reconstructing a super-resolution three-dimensional (3D) image from a depth image. The apparatus may include an error point relocation processing unit to relocate an error point in a depth image, and a super-resolution processing unit to reconstruct a 3D image by performing a super-resolution with respect to the depth image in which the error point is relocated.

Abstract: An apparatus and method for processing three-dimensional (3D) information is described. The 3D information processing apparatus may measure first depth information of an object using a sensor apparatus such as a depth camera, may estimate a foreground depth of the object, a background depth of a background, and a degree of transparency of the object, may estimate second depth information of the object based on the estimated foreground depth, background depth, and degree of transparency, and may determine the foreground depth, the background depth, and the degree of transparency through comparison between the measured first depth information and the estimated second depth information.

Abstract: An apparatus and method for enhancing photorealism of a computer graphic (CG) image. Since color distribution maps of the CG image and a realistic image are extractable, a color distribution map of an input CG image may be adjusted, thereby enhancing photorealism of the CG image.

Abstract: A method of acquiring geometry of a specular object is provided. Based on a single-view depth image, the method may include receiving an input of a depth image, estimating a missing depth value based on connectivity with a neighboring value in a local area of the depth image, and correcting the missing depth value. Based on a composite image, the method may include receiving an input of a composite image, calibrating the composite image, detecting an error area in the calibrated composite image, and correcting a missing depth value of the error area.

Abstract: An apparatus and method for obtaining lighting information and material information in an image modeling system are provided. A material constant of a same material region and lighting information of the same material region may be extracted by applying color channel pixel values, depth values, and viewpoint information to a linear system in which a pixel value is defined by a material constant and a combination of a geometry component with a lighting component.

Abstract: A method and apparatus for realistically expressing teeth performs rendering on a shape model of the teeth using a hybrid normal map based on materials and characteristics of the teeth in order to more realistically express the teeth.

Abstract: Provided is a method and apparatus that may generate a three-dimensional (3D) object from a two-dimensional (2D) image, and render the generated 3D object. Light source information may be extracted from the 2D image using a characteristic of the 2D image, and property information associated with the 2D image may be extracted based on the light source information. In particular, specular information, scattering information, and the like may be stored in a database using a plurality of samples. Since pecular information or scattering information similar to an input image may be retrieved from the data base, property information may be quickly extracted.

Abstract: Provided is a method and apparatus that may generate a three-dimensional (3D) object from a two-dimensional (2D) image, and render the generated 3D object. Light source information may be extracted from the 2D image using a characteristic of the 2D image, and property information associated with the 2D image may be extracted based on the light source information. In particular, specular information, scattering information, and the like may be stored in a database using a plurality of samples. Since specular information or scattering information similar to an input image may be retrieved from the data base, property information may be quickly extracted.

Abstract: An apparatus and method of correcting an image are provided. The apparatus includes a receiver to receive a depth value and a luminous intensity, the depth value and the luminous intensity being measured by at least one depth sensor, and a correction unit to read a correction depth value of a plurality of correction depth values mapped to different depth values and different luminous intensities from a first storage unit and to correct the measured depth value using the read correction depth value, the correction depth value being mapped to the measured depth value and the measured luminous intensity.

Abstract: An apparatus and method for reconstructing a super-resolution three-dimensional (3D) image from a depth image. The apparatus may include an error point relocation processing unit to relocate an error point in a depth image, and a super-resolution processing unit to reconstruct a 3D image by performing a super-resolution with respect to the depth image in which the error point is relocated.

Abstract: Provided is a light and texture extracting apparatus and method of rendering, and a rendering apparatus using a light and a texture. Light information applied to an input image and texture information of the input image may be extracted from the input image and the shape information of the input image. The extracted light information and the texture information may be used to render another image for more realistic rendering.

Abstract: An apparatus for image matching between multiview cameras includes a pattern model storing unit to store a pattern model, a matching processing unit to match the stored pattern model with a point cloud obtained by at least one depth camera, and a parameter obtaining unit to obtain a parameter for each of the at least one depth camera, based on a result of the matching.

Abstract: A method of acquiring geometry of a specular object is provided. Based on a single-view depth image, the method may include receiving an input of a depth image, estimating a missing depth value based on connectivity with a neighboring value in a local area of the depth image, and correcting the missing depth value. Based on a composite image, the method may include receiving an input of a composite image, calibrating the composite image, detecting an error area in the calibrated composite image, and correcting a missing depth value of the error area.

Abstract: An image processor, a lighting processor, and a method therefore are provided. According to one aspect of the invention, the lighting processor can extract information related to defuse lighting applied to a real object using a colored image and a depth image of the real object. The lighting processor can recover the diffuse image for the real object using the extracted information related to diffuse lighting, and generate either a speculum image or a shadow image using the recovered diffuse image and the colored image.

Abstract: A method and apparatus for obtaining geometry information, material information, and lighting information in an image modeling system are provided. Geometry information, material information, and lighting information of an object may be extracted from a single-view image captured in a predetermined light condition, by applying pixel values defined by a geometry function, a material function, and a lighting function.