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 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:
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 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:
A method and apparatus for processing a depth image determines a number of mods (NoM) for corresponding pixels in a plurality of depth images. The corresponding pixels may represent a same three-dimensional (3D) point. The NoM may be determined to be a value for minimizing a Markov random field (MRF) energy. A depth value for one depth image may be recovered, and a depth value for another depth image may be updated using the recovered depth value.
Abstract:
An image processing apparatus and method using a depth image are provided. The image processing apparatus may include a region determination unit to determine a foreground region and a background region in a color image using a depth image, and a color compensation unit to compensate a color with respect to the foreground region and the background region.
Abstract:
Provided is a synthesis system of a time-of-flight (ToF) camera and a stereo camera for reliable wide range depth acquisition and a method therefor. The synthesis system may estimate an error per pixel of a depth image, may calculate a value of a maximum distance multiple per pixel of the depth image using the error per pixel of the depth image, a left color image, and a right color image, and may generate a reconstructed depth image by conducting phase unwrapping on the depth image using the value of the maximum distance multiple per pixel of the depth image.
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:
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:
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.