Abstract:
Provided are methods and apparatuses for calibrating a three-dimensional (3D) image in a tiled display including a display panel and a plurality of lens arrays. The method includes capturing a plurality of structured light images displayed on the display panel, calibrating a geometric model of the tiled display based on the plurality of structured light images, generating a ray model based on the calibrated geometric model of the tiled display, and rendering an image based on the ray model.
Abstract:
A display system, according to one embodiment, comprises a display panel for displaying the EIA, a lens array positioned at the front part of the display panel, a depth camera for generating a depth image by photographing a user. The display system may include an image processor for calculating a viewing distance between the user and the display system from the depth image, generating a plurality of ray clusters corresponding to one view point according to the viewing distance, generating a multi-view image by rendering the plurality of ray clusters, and generating the EIA on the basis of the multi-view image.
Abstract:
A three-dimensional (3D) display method includes generating N first visual images, N being a natural number greater than 1; generating M second visual images from each of the N first visual images, M being a natural number greater than 1; acquiring N visual image groups corresponding to the N first visual images, respectively, such that, for each one of the N visual image groups, the visual image group includes the M second visual images generated from the first visual image, from among the N first visual images, to which the visual image group corresponds; generating M elemental image array (EIA) images based on the N visual image groups; and time-share displaying the M EIA images.
Abstract:
A method and apparatus for detecting an object using an event-based sensor is provided. An object detection method includes determining a feature vector based on target pixels and neighbor pixels included in an event image, and determining a target object corresponding to the target pixels based on the feature vector.
Abstract:
An object recognition apparatus and an object recognition method are provided. The object recognition method includes generating an input image based on an event flow of an object, generating a composite feature based on features extracted by a plurality of recognizers, and recognizing the object based on the composite feature.
Abstract:
A method and apparatus for detecting a three-dimensional (3D) point cloud point of interest (POI), the apparatus comprising a 3D point cloud data acquirer to acquire 3D point cloud data, a shape descriptor to generate a shape description vector describing a shape of a surface in which a pixel point of a 3D point cloud and a neighboring point of the pixel point are located, and a POI extractor to extract a POI based on the shape description vector is disclosed.