Abstract:
A lightened neural network method and apparatus. The neural network apparatus includes a processor configured to generate a neural network with a plurality of layers including plural nodes by applying lightened weighted connections between neighboring nodes in neighboring layers of the neural network to interpret input data applied to the neural network, wherein lightened weighted connections of at least one of the plurality of layers includes weighted connections that have values equal to zero for respective non-zero values whose absolute values are less than an absolute value of a non-zero value. The lightened weighted connections also include weighted connections that have values whose absolute values are no greater than an absolute value of another non-zero value, the lightened weighted connections being lightened weighted connections of trained final weighted connections of a trained neural network whose absolute maximum values are greater than the absolute value of the other non-zero value.
Abstract:
Provided is a display apparatus and method. The display apparatus may sense light reflected from an object and passed through a display panel, and may control a power of a backlight unit depending on whether the light has passed through the display panel.
Abstract:
At least one example embodiment discloses a method of converting a vector corresponding to an input image. The method includes receiving first-dimensional vector data associated with an input image, the input image including an object and converting the received first-dimensional vector data to second-dimensional vector data based on a projection matrix with an associated rank. A first dimension of the first-dimensional vector data is higher than a second dimension of the second-dimensional vector data.
Abstract:
A multi-touch sensing apparatus using a rear view camera of an array type is provided. The multi-touch sensing apparatus may include a display panel to display an image, a sensing light source to emit light to sense a touch image which is generated by an object and displayed on a back side of the display panel, and a camera to divide and sense the touch image. The camera may be arranged in an edge of a lower side of the multi-touch sensing apparatus, or a mirror to reflect the touch image may be included in the multi-touch sensing apparatus.
Abstract:
An apparatus for detecting an interfacing region in a depth image detects the interfacing region based on a depth of a first region and a depth of a second region which is an external region of the first region in a depth image.
Abstract:
At least one example embodiment discloses an apparatus for sensing an object, the apparatus including a display, a light source configured to emit light toward the display, a pattern layer on the display, the pattern layer including a first pattern for identifying a position on the display, a camera configured to generate a pattern image based on light reflected off of the pattern layer, and a controller configured to adjust an operation of at least one of the light source and the camera based on a second pattern displayed in the pattern image.
Abstract:
A display apparatus for controlling a field of view is provided. When a mode it set to a photograph mode, the display apparatus may control the field of view when photographing, by sensing an input light emitted from an object and transmitted through a first panel on which a field of view control pattern is formed, and a second panel on which an imaging pattern is formed.
Abstract:
An apparatus and method for analyzing body part association. The apparatus and method may recognize at least one body part from a user image extracted from an observed image, select at least one candidate body part based on association of the at least one body part, and output a user pose skeleton related to the user image based on the selected at least one candidate body part.
Abstract:
An authentication method and apparatus using a transformation model are disclosed. The authentication method includes generating, at a first apparatus, a first enrolled feature based on a first feature extractor, obtaining a second enrolled feature to which the first enrolled feature is transformed, determining an input feature by extracting a feature from input data with a second feature extractor different from the first feature extractor, and performing an authentication based on the second enrolled feature and the input feature.
Abstract:
A face verification method and apparatus is disclosed. The face verification method includes selecting a current verification mode, from among plural verification modes, to be implemented for the verifying of the face, determining one or more recognizers, from among plural recognizers, based on the selected current verification mode, extracting feature information from information of the face using at least one of the determined one or more recognizers, and indicating whether a verification is successful based on the extracted feature information.