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 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:
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 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:
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:
In an apparatus and method for processing a virtual world, haptic information regarding a virtual object in the virtual world, the haptic information corresponding to sensed information, is extracted and transmitted to a haptic feedback device. Accordingly, interaction between a real world and the virtual world is achieved. The processing speed of the haptic information with respect to the virtual object may be increased by varying data structures according to types of the virtual object.
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:
Provided is an apparatus and method to create a model of a target organ of a patient. The apparatus and method generate a deformation matrix between at least two shape models of a target organ based on at least two three-dimensional (3D) images of the target organ. The apparatus and method also extract constraints about the target organ from a two-dimensional (2D) image of the target organ. The apparatus and method create the model of the target organ based on the constraints and the deformation matrix.
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 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.