Abstract:
A method and apparatus for generating a spanning tree, a method and apparatus for stereo matching, a method and apparatus for up-sampling, and a method and apparatus for generating a reference pixel are disclosed, in which a spanning tree may be generated by reference pixels, stereo matching or up-sampling may be performed based on the generated spanning tree, and a reference pixel may be generated based on a stereo video.
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 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 processing an image based on a motion of an object, the apparatus including a motion estimator configured to estimate a motion of an object included in a current image, an image determiner configured to determine a neighboring image neighboring the current image based on the motion of the object, and a pixel value determiner configured to determine a pixel value of a hole region neighboring the object based on the neighboring image is provided.
Abstract:
Provided are a method of decreasing the noise of a depth image which predicts the noise for each pixel of the depth image using the difference in depth values of two adjacent pixels of the depth image and the reflectivity of each pixel of an intensity image, and an image processing apparatus and an image generating apparatus that use the method.
Abstract:
A method for matching stereo images may calculate a data cost value for each of a plurality of images, calculate a smoothness cost value for each of the plurality of images, and match pixels among the plurality of images based on the data cost value and the smoothness cost value.
Abstract:
A stereo matching apparatus and method through learning a unary confidence and a pairwise confidence are provided. The stereo matching method may include learning a pairwise confidence representing a relationship between a current pixel and a neighboring pixel, determining a cost function of stereo matching based on the pairwise confidence, and performing stereo matching between a left image and a right image at a minimum cost using the cost function.
Abstract:
A method of generating a depth image includes irradiating an object with a light which is generated from a light source, acquiring a plurality of phase difference signals which have different phase differences from one another, by sensing a reflection light reflected from the object, generating a first depth image based on the plurality of phase difference signals, generating a second depth image based on phase difference signals in which a motion artifact has not occurred, among the plurality of phase difference signals, generating a third depth image by combining the first depth image and the second depth image.
Abstract:
Provided is an image processing method including: receiving a depth map and a color image with respect to a predetermined scene; projecting a plurality of points included in the depth map, onto the color image; segmenting the color image, onto which the depth map is projected, by using at least two image segmentation methods to generate respective segmentation results, and classifying the plurality of points included in the color image into at least one set according to the respective segmentation results; assigning a depth value to each of the plurality of points of the color image included in the set; and outputting the color image, to which the depth values are assigned.
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.