Abstract:
The present disclosure discloses a method of determining precise positioning. A method of determining precise positioning according to an embodiment of the present disclosure includes: determining at least one piece of image positioning information of at least one image object detected from at least one image; determining at least one piece of wireless positioning information of at least one wireless object on the basis of signal strength of a wireless signal; performing mapping for the at least one piece of image positioning information and the at least one piece of wireless positioning information; and determining final positioning information on the basis of the at least one piece of image positioning information, and the at least one piece of wireless positioning information for which mapping is performed.
Abstract:
Provided are an apparatus and a method for generating a multi-viewpoint image. The apparatus includes: a camera photographing a stereo image; an image processing unit detecting features from left and right images of the stereo image; a reference image generating unit generating a reference image for viewpoint n by warping an image which is distant between the left image and the right image at viewpoint n based on an n-th viewpoint among N viewpoints that exist between the left image and the right image; and a warping image generating unit calculating a warping equation for viewpoint n by using the reference image and generating a final warping image for viewpoint n by using the calculated warping equation.
Abstract:
Disclosed are an image encoding method using a skip mode and a device using the method. The image encoding method may comprise the steps of: judging whether there is residual block data of a prediction target block on the basis of predetermined data indicating whether residual block data has been encoded; and, if there is residual block data, restoring the prediction target block on the basis of the residual block data and an intra-screen predictive value of the prediction target block. Consequently, encoding and decoding efficiency can be increased by carrying out the encoding and decoding of screen residual data only for prediction target blocks where there is a need for a residual data block in accordance with screen similarity.
Abstract:
A deep learning-based image stitching method and apparatus are provided. The deep learning-based image stitching method includes receiving a plurality of images including a first image and a second image stitched to the first image, extracting a feature map of the plurality of images, generating a plurality of flow maps indicating movement information of pixels of the plurality of images, based on the feature map, generating a plurality of warping images in which the pixels of the plurality of images are moved, by applying the plurality of flow maps to the plurality of images, respectively, generating a plurality of weight maps for blending the plurality of warping images, based on the feature map, and generating a stitch image in which the first image and the second image are stitched, by blending the plurality of warping images based on the plurality of weight maps.
Abstract:
Provided are an image processing method and apparatus for generating a three-dimensional (3D) virtual viewpoint image by combining multi-view depth map on a 3D space through depth clustering. In the image processing method and apparatus, pieces of color and depth information are stored in units of depth clusters to minimize influences of occlusion regions and holes during generating of the virtual viewpoint image.
Abstract:
Disclosed are an image encoding method using a skip mode and a device using the method. The image encoding method may comprise the steps of: judging whether there is residual block data of a prediction target block on the basis of predetermined data indicating whether residual block data has been encoded; and, if there is residual block data, restoring the prediction target block on the basis of the residual block data and an intra-screen predictive value of the prediction target block. Consequently, encoding and decoding efficiency can be increased by carrying out the encoding and decoding of screen residual data only for prediction target blocks where there is a need for a residual data block in accordance with screen similarity.
Abstract:
Provided are an apparatus and method for generating a best-view image centered on a object of interest in multiple camera images. The apparatus and method for generating a best-view image centered on a object of interest in multiple camera images accurately provide a best-view image clearly showing a figure, a motion, or the like of a object of interest desired by a viewer by selecting the best-view camera image on the basis of a criterion of a judgment about the best-view image centered on the object of interest.
Abstract:
A multi-camera control apparatus and method to maintain a location and a size of an object in a continuous viewpoint switching service are provided. The multi-camera control method of controlling a main camera configured to capture a moving object of interest and controlling at least one sub-camera configured to capture the object of interest at a different viewpoint from that of the main camera, may include extracting the object of interest from a first image generated by the main camera, controlling a capturing scheme of the main camera based on a change in a location and a size of the extracted object of interest, projecting the object of interest onto a second image generated by the sub-camera, and controlling a capturing scheme of the sub-camera based on a change in a location and a size of the projected object of interest.