Abstract:
Disclosed is an apparatus and method for processing information of multiple cameras. The apparatus for processing information of multiple cameras according to an embodiment of the present disclosure includes: multiple cameras obtaining an image containing at least one object; a location information identification unit identifying location information between the at least one object and one of the multiple cameras, the location information identification unit being provided in each of the multiple cameras, wherein the location information comprises a device identifier identifying the location information identification unit and a location data between the at least one object and one of the multiple cameras; and an image processor processing image information obtained from the multiple cameras by using the location information received from the location information identification unit and converting the device identifier received from the location information identification unit into an object identifier identifying the at least one object.
Abstract:
Disclosed are a method and an apparatus for generating a panoramic image based on an image quality. The method of generating a panoramic image includes extracting a matching point to connect a base image captured by a first camera and a reference image captured by a second camera, geometrically transforming the reference image by determining a homography between the base image and the reference image, determining a change in image quality of the geometrically transformed reference image, and generating a panoramic image in which the geometrically transformed reference image is connected to the base image based on the determined change in image quality.
Abstract:
An apparatus and a method for displaying a panoramic image using a look-up table (LUT) are disclosed, including generating an LUT may include determining first geometric correction information to transform an input domain pixel coordinate system of an input image to a panorama domain pixel coordinate system of a panoramic image, determining second geometric correction information to transform an output domain pixel coordinate system of an output image of the panoramic image to the panorama domain pixel coordinate system of the panoramic image, determining third geometric correction information to transform the output domain pixel coordinate system of the output image to the input domain pixel coordinate system of the input image based on the first geometric correction information and second geometric correction information, and generating an LUT that maps the output domain pixel coordinate system of the output image to the input domain pixel coordinate system of the input image.
Abstract:
Provided is an apparatus and method for detecting a key point using a high-order Laplacian of Gaussian (LoG) kernel, wherein the method includes generating the high-order LoG kernel using an LoG operator, and detecting a key point of an image using the high-order LoG kernel.
Abstract:
Disclosed are a color correction apparatus for panorama video stitching and a method of selecting a reference image using the same. A method of selecting a reference image for color correction when stitching panorama video based on input images includes selecting an optimum reference image candidate from the input images based on standard deviations for overlapping regions between the input images, performing color correction on the input images based on the optimum reference image candidate, and validating the optimum reference image candidate based on the color-corrected input images.
Abstract:
A stitching method of a captured image is disclosed. The stitching method includes capturing a plurality of images having different viewing angles, setting a feature point extraction region on the plural images, extracting a plurality of feature points from a plurality of objects in the set region, extracting a combination line connecting corresponding feature points based on the plural extracted feature points, outputting the extracted combination line, and combining the plural images based on the extracted combination line. Accordingly, the stitching method provides an effective and high-quality stitched image.
Abstract:
A method of receiving content in a client is provided. The method may include receiving, from a server, a spatial set identifier (ID) corresponding to a tile group including at least one tile, sending, to the server, a request for first content corresponding to metadata, and receiving, from the server, the first content corresponding to the request.
Abstract:
A real-time automatic region of interest extraction method, apparatus, and recording medium adaptive to the broadcast content characteristics of the present disclosure may include confirming whether a region of interest of a current frame is a cluster-centered region of interest or an object-centered region of interest, extracting a tracking-based region of interest of the current frame according to a type of the region of interest, and determining a final region of interest of the current frame based on the extracted tracking-based region of interest of the current frame.
Abstract:
A method of receiving content in a client is provided. The method may include receiving, from a server, a spatial set identifier (ID) corresponding to a tile group including at least one tile, sending, to the server, a request for first content corresponding to metadata, and receiving, from the server, the first content corresponding to the request.
Abstract:
The present specification is related to a method for performing multi-projection and a multi-projection system for minimizing a black offset in a multi-projection environment. The present specification provides the method for performing multi-projection comprising estimating the intensity transfer function (ITF) of a plurality of projectors, calculating an optimal black offset threshold for each of the projectors by using each of the ITFs, and applying the optimal black offset threshold to an image projection by each of the projectors.