Abstract: A device for correcting artifacts included in images includes an image processor. The image processor includes an acquirer configured to acquire image data including first pixel data, second pixel data, third pixel data, and fourth pixel data arranged in a 2×2 array. The image processor also includes a guide image generator configured to acquire a first guide image based on an average value of the first pixel data and the fourth pixel data that are located in a diagonal direction. The image processor further includes an image operating component configured to output a result image generated using a high-frequency component, included in the first guide image, and the image data.

Abstract: An image processing system includes an image sensor including a pixel array including first pixels corresponding to a first phase difference degree and second pixels corresponding to a second phase difference degree. The image processing system also includes an image set manager for generating a first image set corresponding to a first resolution, based on pixel values of the first pixels, and generating a second image set corresponding to a second resolution, based on pixel values of the second pixels. The image processing system further includes and an image synthesizer for generating first depth information, based on the first image set, generating second depth information, based on the second image set, and generating a synthetic image of the first image set and the second image set, based on the first depth information and the second depth information.

Abstract: Disclosed herein are an apparatus and method for searching for a global minimum of a point cloud registration error. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program performs collecting multiple registration results in which the registration error between a source point cloud and a target point cloud is a local minimum as candidates and selecting the registration result in which the registration error between the source point cloud and the target point cloud is a global minimum, among the candidates. Collecting the multiple registration results may comprise repeatedly randomly initializing the source point cloud and the target point cloud and registering the initialized source point cloud to the initialized target point cloud to thereby search for a registration result in which the registration error therebetween is a local minimum.

Abstract: Disclosed herein are an apparatus and method for searching for a global minimum of a point cloud registration error. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program performs collecting multiple registration results in which the registration error between a source point cloud and a target point cloud is a local minimum as candidates and selecting the registration result in which the registration error between the source point cloud and the target point cloud is a global minimum, among the candidates. Collecting the multiple registration results may comprise repeatedly randomly initializing the source point cloud and the target point cloud and registering the initialized source point cloud to the initialized target point cloud to thereby search for a registration result in which the registration error therebetween is a local minimum.

Abstract: Disclosed herein a method of removing a point cloud outlier and an apparatus implementing the method. The method includes: arranging a point cloud obtained from a laser scanner along at least a first direction; selecting, neighboring first-axis points, between which a separation degree satisfies an inspection start threshold condition, as a first leading-side representative point and a first trailing-side representative point; selecting a first leading-side outlier candidate and a first trailing-side outlier candidate based on a first leading-side separation degree and a first trailing-side separation degree; and determining the first leading-side outlier candidate and the first trailing-side outlier candidate as a first outlier point, when the number of the outlier candidates satisfies an allowable threshold condition.

Abstract: Disclosed herein a method of removing a point cloud outlier and an apparatus implementing the method. The method includes: arranging a point cloud obtained from a laser scanner along at least a first direction; selecting, neighboring first-axis points, between which a separation degree satisfies an inspection start threshold condition, as a first leading-side representative point and a first trailing-side representative point; selecting a first leading-side outlier candidate and a first trailing-side outlier candidate based on a first leading-side separation degree and a first trailing-side separation degree; and determining the first leading-side outlier candidate and the first trailing-side outlier candidate as a first outlier point, when the number of the outlier candidates satisfies an allowable threshold condition.

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 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 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: 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: Provided are a method and a device for converting a White-Red-Green-Blue (WRGB) color filter array into a Red-Green-Blue (RGB) color filter array in order to be easily applied to a commercial digital camera. The method includes (a) correcting a color of a White-Red-Green-Blue (WRGB) color filter array, (b) converting the WRGB color filter array into a Red-Green-Blue (RGB) color filter array, and (c) correcting a green of the RGB color filter array by using multichannel color difference value.

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. The high-order LoG kernel is generated based on an LoG operator which is calculated by sequentially differentiating an LoG operator with respect to x and y of an image. A scale space is generated based on the high-order LoG kernel and the key point is detected by comparing a current pixel in the scale space to pixels adjacent to the current pixel.

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 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.

Abstract: Provided are a method and a device for converting a White-Red-Green-Blue (WRGB) color filter array into a Red-Green-Blue (RGB) color filter array in order to be easily applied to a commercial digital camera. The method includes (a) correcting a color of a White-Red-Green-Blue (WRGB) color filter array, (b) converting the WRGB color filter array into a Red-Green-Blue (RGB) color filter array, and (c) correcting a green of the RGB color filter array by using multichannel color difference value.

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: An image processing apparatus using a smart glass is provided, the image processing apparatus including an extractor to extract a first target to be observed by a user from a first image received from the smart glass and generate a second image using the extracted first target, an information collector to collect information related to the first target, and an image generator to reconstruct a third image using at least one of the second image and the information related to the first target, based on user settings.

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.