Abstract:
Disclosed is an apparatus and method of segmenting an object. An object segmentation method according to the present disclosure includes: receiving an input image; receiving an user input indicating at least one piece of information on a foreground region and a background region included in the input image; generating at least one among a foreground pixel list and a background pixel list using the received user input; calculating Gaussian distribution of at least one pixel that makes up the input image using at least one among the generated foreground pixel list and background pixel list; and determining whether the at least one pixel is a foreground pixel or a background pixel using the calculated Gaussian distribution.
Abstract:
An arbitrary viewpoint image generation method includes obtaining an original image set photographed by a plurality of cameras included in a camera array at each of at least one focal distance at a same time point; obtaining a multi-focus image set by generating a multi-focus image from the original image set for each of the at least one focal distance; and generating an arbitrary viewpoint image at a position where a viewpoint is to be moved from the multi-focus image set.
Abstract:
Provided are an apparatus and method for inputting and outputting a stereo light field supporting generation of an eye's moved point of sight. The apparatus includes an image acquisition unit configured to acquire light field data of an object and transmit the acquired light field data, and an image output unit configured to receive the light field data transmitted by the image acquisition unit, generate images according to the points of sight of a viewer's both eyes using the received light field data, and output the generated images.
Abstract:
Provided are a device and method for processing a plenoptic multiplanar image (MPI). The device includes a video input part configured to receive plenoptic MPI data and a processor configured to calculate an entropy for each depth level of the plenoptic MPI data, control resolutions of level images according to the entropies, and encode the level images.
Abstract:
Provided are three-dimensional (3D) data processing apparatus and method. 3D stereoscopic image common format data preserving common 3D image information is defined by converting 3D stereoscopic image data of each format to apply the same 3D image processing algorithm to 3D data of various formats, and native format data of each format is maintained to maintain merits of each format, and a format-specific algorithm table is maintained with respect to a common 3D image processing function, whereby the same 3D image processing algorithm may be applied to various 3D data and a unique algorithm allowing for maintaining the merits of each 3D data may be applied.