Abstract:
An image processing apparatus may include a sensor unit which generates both a color image and a depth image. A color-depth time difference correcting unit may correct a mismatching that occurs due to a time difference between a point in time when the color image is generated and a point in time when the depth image is generated. An image generator may generate a stereoscopic image or a multi-view image using the color image and the depth image after the mismatching is corrected.
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:
An image processing apparatus is provided. The image processing apparatus determines whether a first charge quantity of charges stored in a first charge storage is greater than or equal to a predetermined saturation level, the first charge storage among a plurality of charge storages configured to store charges generated by a sensor of a depth camera. According to the determination result, when the first charge quantity is greater than or equal to the saturation level, the image processing apparatus may calculate the first charge quantity from at least one second charge quantity of charges stored in at least one second charge storage which is different from the first charge storage among the plurality of charge storages.
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:
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:
An apparatus and method for parsing a human body image may be implemented by acquiring a depth image including a human body, and detecting a plurality of points in the acquired depth image by conducting a minimum energy skeleton scan on the depth image.
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 filling a hole area in an image. The image processing apparatus may include a candidate pixel setting unit to set a plurality of candidate pixels corresponding to at least one hole pixel in a hole area using neighboring pixels around the hole area, and a pixel value determining unit to determine a pixel value of the hole pixel using the plurality of candidate pixels.
Abstract:
Provided is an apparatus and method for detecting body parts, the method including identifying a group of sub-images relevant to a body part in an image to be detected, assigning a reliability coefficient for the body part to the sub-images in the group of sub-images based on a basic vision feature of the sub-images and an extension feature of the sub-images to neighboring regions, and detecting a location of the body part by overlaying sub-images having reliability coefficients higher than a threshold value.
Abstract:
At least some example embodiments disclose a method and device for displaying a background image that may change an arrangement of an object based on image information associated with the background image and change a visual effect with respect to an adjacent region of the object.