Abstract: An endoscope using depth information and a method for detecting a polyp based on the endoscope using the depth information are provided. The endoscope using the depth information may generate an irradiated light signal including a visible light, obtain depth information based on the irradiated light signal and a reflected light signal obtained through the irradiated light signal being reflected off of an intestine wall, generate a depth image inside the intestine wall based on the depth information, and detect a polyp located on the intestine wall based on the depth image.

Abstract: A method and apparatus for processing a depth image that removes noise of a depth image may include a noise estimating unit to estimate noise of a depth image using an amplitude image, a super-pixel generating unit to generate a planar super-pixel based on depth information of the depth image and the noise estimated, and a noise removing unit to remove noise of the depth image using depth information of the depth image and depth information of the super-pixel.

Abstract: Provided is a method and apparatus for modeling a human body using a depth image and a color image. An image processing apparatus may extract a body area from a color image based on a depth value of a depth image, may match a boundary of the extracted body area and a boundary of a generic body mesh model, and may deform a mesh of the generic body mesh model based on a depth value of a pixel positioned within the boundary of the extracted body area.

Abstract: Provided is an image processing apparatus and method for detecting a transparent image from an input image. The image processing apparatus may include an image segmenting unit to segment an input image into a plurality of segments, a likelihood determining unit to determine a likelihood that a transparent object is present between adjacent segments among the plurality of segments, and an object detecting unit to detect the transparent object from the input image based on the likelihood.

Abstract: An apparatus and method for generating a depth image using transition of light sources may include a surface information determination unit to determine surface information related to a surface of an object, using a plurality of intensity images generated according to position of light sources; and an output depth image generation unit to generate an output depth image, using an original depth image and the surface information.

Abstract: A communication network comprising a collaborative photography group including a plurality of cameras having synchronized photographing times, is provided. The plurality of cameras may share location information, direction angle information, and image information generated by photographing an object, and generate a three-dimensional (3D) image of the object.

Abstract: A depth image generation method is provided. The depth image generation method may include emitting light of different modulation frequencies to an object; detecting the light of the different modulation frequencies reflected from the object; and generating a depth image related to a distance to the object using the light of the different modulation frequencies.

Abstract: Provided is a depth image unfolding apparatus and method that may remove a depth fold from a depth image to restore a three-dimensional (3D) image. The depth image unfolding apparatus may include an input unit to receive inputted multiple depth images with respect to the same scene, the multiple depth images being photographed based on different modulation frequencies of a fixed photographing device, a depth fold estimator to estimate a number of depth folds based on a distance between multiple three-dimensional (3D) points of multiple pixels indicating the same location of the scene in the multiple depth images, and an output unit to output the multiple depth images from which depth folds are removed based on the estimated number of depth folds.

Abstract: Provided is an image processing apparatus. A boundary detector of the image processing apparatus may detect a boundary of an occlusion region of a color image warped in correspondence to a first view. A boundary labeling unit of the image processing apparatus may label the detected boundary with one of a foreground region boundary and a background region boundary.

Abstract: A method and apparatus to generate a volume-panorama image are provided. A method of generating a volume-panorama image includes receiving conversion relationships between volume images, one of the received conversion relationships being between a first volume image of the volume images and a second volume image of the volume images, the second volume image including an area that is common to an area of the first volume image, generating an optimized conversion relationship from the one of the received conversion relationships based on the received conversion relationships, and generating the volume-panorama image based on the generated optimized conversion relationship.

Abstract: A method and apparatus to generate a volume-panorama image based on three-dimensional (3D) volume images is provided. A method of generating a volume-panorama image includes receiving pieces of image data of one or more volume images, extracting partial regions including one or more voxels from the volume images, determining a global conversion function representing a relationship of a conversion between a second volume image of the volume images and a first volume image of the volume images, the determined global conversion function being based on a conversion function representing a relationship of a conversion between one of the extracted partial regions of the second volume image and one of the extracted partial regions of the first volume image, and generating image data of a volume image to be combined with the first volume image from image data of the second volume image based on the determined global conversion function.

Abstract: Provided are an apparatus and method for converting a low-resolution depth image to a depth image having a resolution identical to a resolution of a high-resolution color image. The depth image conversion apparatus may generate a discrete depth image by quantizing a depth value of an up-sampled depth image, estimate a high-resolution discrete depth image by optimizing an objective functions of the discrete depth image based on the high-resolution color image and an up-sampled depth border, and convert the up-sampled depth image to a high-resolution depth image by filtering the up-sampled depth image when a difference between discrete depth values of neighboring pixels in the high-resolution discrete depth image is less than a predetermined threshold value.

Abstract: A first calculator of an image processing apparatus may trace a view transform vector between color images of different frames. A second calculator may trace a view transform vector between depth images of different frames. In this example, a third calculator may calculate a view transform vector between the color camera and the depth camera using the view transform vector between the color images and the view transform vector between the depth images.

Abstract: Provided is a depth image unfolding apparatus and method that may remove a depth fold from a depth image to restore a three-dimensional (3D) image. The depth image unfolding apparatus may include an input unit to receive inputted multiple depth images with respect to the same scene, the multiple depth images being photographed based on different modulation frequencies of a fixed photographing device, a depth fold estimator to estimate a number of depth folds based on a distance between multiple three-dimensional (3D) points of multiple pixels indicating the same location of the scene in the multiple depth images, and an output unit to output the multiple depth images from which depth folds are removed based on the estimated number of depth folds.

Abstract: Provided is an image processing apparatus, method and computer-readable medium. The image processing apparatus may perform modeling of a function that enables correction of a systematic error of a depth camera, using a single depth camera and a single calibration reference image. Additionally, the image processing apparatus may calculate a depth error or a distance error of an input image, and may correct a measured depth of the input image using a modeled function.

Abstract: Disclosed is a mesh generating apparatus, method and computer-readable medium, and an image processing apparatus, method and computer-readable medium. A single 3D mesh and a single 3D object model may be generated using a single color image and a single depth image. A plurality of viewpoint images seen from a plurality of viewpoints may be generated from a single 3D object model.

Abstract: A communication network comprising a collaborative photography group including a plurality of cameras having synchronized photographing times, is provided. The plurality of cameras may share location information, direction angle information, and image information generated by photographing an object, and generate a three-dimensional (3D) image of the object.

Abstract: Provided is an image processing apparatus. The image processing apparatus may extract a three-dimensional (3D) silhouette image in an input color image and/or an input depth image. Motion capturing may be performed using the 3D silhouette image and 3D body modeling may be performed.

Abstract: A bit line voltage regulation circuit achieves uniform program features and precise cell distribution by providing a high voltage to a bit line regardless of a cell state. For this purpose, the regulation circuit includes a boosting unit for generating the high voltage, a switching unit, connected between the boosting unit and the bit line of a memory cell array, for transferring the high voltage to the bit line and an amplifying unit, for detecting a voltage drop at a detection node on the bit line caused by resistance on the bit line, amplifying the detected voltage drop to produce an amplified voltage driving the switching unit.

Abstract: The present invention relates to a method of forming a dual junction region and a method of forming a transfer transistor using the same. A low-concentration junction region is formed. A high-concentration junction region is formed at a portion of the low-concentration junction region by performing a high-concentration ion implantation process an ion implantation mask for an interlayer dielectric film in which a contact hole is formed so that the portion of the low-concentration junction region is exposed. With this structure, the distance between the high-concentration junction region and the well is sufficiently secured by controlling the distance between the high-concentration junction region and the well using the width of the contact hole formed in the interlayer dielectric film. Therefore, a stable characteristic can be secured upon application of a subsequent high voltage bias.