Abstract:
A method of refining a depth image includes extracting shading information of color pixels from a color image, and refining a depth image corresponding to the color image based on surface normal information of an object included in the shading information.
Abstract:
An image processing apparatus includes a processor configured to calculate a curvature value of a first point in stereo images based on a disparity value corresponding to the first point, and refine the disparity value based on the curvature value.
Abstract:
A fluid particle modeling method includes determining bubble cells based on locations of fluid particles, defining a bubble based on the bubble cells, calculating a pressure of the bubble based on a change in a volume of the bubble, and updating the locations of the fluid particles based on the pressure of the bubble.
Abstract:
A method of displaying an illumination includes: based on illumination information, determining, using a least one processor, an illumination area to which an illumination assigned in a virtual space is projected; and visualizing, using the at least one processor, an illumination effect produced by the illumination with respect to a determined boundary area in the illumination area, the determined boundary area including a boundary and a portion of the determined illumination area that is less than all of the determined illumination area.
Abstract:
A modeling method based on particles, the method including generating coarse particles by down-sampling target particles corresponding to at least a portion of a target object, calculating a correcting value enabling the coarse particles to satisfy constraints of the target object based on physical attributes of the target particles, applying the correcting value to the target particles, and redefining the target particles in response to the target particles to which the correcting value is applied satisfying the constraints.
Abstract:
Provided is a method of modeling a target object, that may obtain depth information from an image in which the target object is represented in a form of particles, obtain distance information between adjacent particles in the image, and detect a silhouette of the target object based on the depth information and the distance information between the adjacent particles in the image.
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.
Abstract:
Provided is a method and apparatus for computing an amount of deformation of an object. A parameter used to compute an amount of deformation in real time may be derived based on a shape model of the object, prior to computing an amount of deformation in real time. Accordingly, an amount of deformation of the object in real time may be predicted based on the parameter.
Abstract:
A vessel segmentation method includes acquiring an image of a blood vessel, including cross sections, using a contrast medium. The method further includes setting a threshold value for each of the cross sections based on data of an intensity of the contrast medium. The method further includes performing vessel segmentation based on the image and the threshold value for each of the cross sections.
Abstract:
A processor-implemented method with image generation includes obtaining a first image, determining predicted texture information of a target image corresponding to the first image through a texture prediction model, based on the first image, determining predicted color information of the target image through a color prediction model, based on the first image, and generating the target image based on the first image, using the predicted texture information and the predicted color information, wherein a format of the target image is different from that of the first image.