Abstract:
The disclosure is inputting a first image captured an image of an authentication target; inputting a second image captured an image of a right eye or a left eye of the target; determining whether the second image is of a left eye or a right eye of the target based on information including the first image, and outputting a determination result as left/right information in association with the second image; detecting an overlap between a region including the second image and a predetermined region in the first image; calculating a verification score by comparing characteristic information that are related to the left/right information with iris characteristic information calculated from the second image, and calculating a first weighted verification score obtained by weighting the verification score with a detection result; and authenticating a target in the second image based on the first weighted verification score, and outputting an authentication result.
Abstract:
A video decoding device includes a demultiplexing unit which demultiplexes a video bitstream including video data of an encoded slice, first Supplemental-Enhancement-Information having information indicating segments where a refresh has completed in a current picture, and second Supplemental-Enhancement-Information having information indicating a synchronization starting picture and a synchronization completed picture, an extracting unit which extracts the information indicating segments where a refresh has completed in a current picture from a message which is part of the demultiplexed Supplemental-Enhancement-Information; and a video decoding unit which decodes image data from the demultiplexed video bitstream by using at least inter prediction, wherein the synchronization starting picture is a leading picture within a refreshing period, and the synchronization completed picture is the end position of the refreshing period.
Abstract:
A video decoding device includes a demultiplexing unit which demultiplexes a video bitstream including video data of an encoded slice, Supplemental-Enhancement-Information having first information indicating a refresh group of segments in gradual refresh, and Supplemental-Enhancement-Information having second information indicating segments where a refresh has completed in a current picture, an extracting unit which extracts the second information from a message which is part of the demultiplexed Supplemental-Enhancement-Information, and a video decoding unit which decodes image data from the demultiplexed video bitstream by using at least inter picture prediction.
Abstract:
Disclosed is an image capturing device that can easily perform image processing of visible light region and that of near infrared region, while utilizing a general image capturing device structure. The image capturing device comprises: a color filter that divides an incident light into a plurality of color lights; a photo sensor that converts the plurality of color lights as divided by the color filter to data representing image signals; a coded infrared cut filter that is placed before the color filter in the light proceeding direction or between the color filter and the photo sensor and that has infrared cut parts for cutting off near infrared lights and infrared passage parts for allowing near infrared lights to pass therethrough; and an image processing means that acquires a plurality of pieces of color information and a piece of near infrared information for each of a plurality of pixels on the basis of a plurality of image signals related to the lights having passed through the infrared cut parts and an image signal related to the light having passed through the infrared passage part for each of the pixel and adjacent pixels.
Abstract:
Disclosed is an image processing method including: generating an initial denoised image with a reduced noise while preserving an edge in an input image; controlling an iterative operation performed based on energy defined in advance based on an initial residual component calculated from the input image and the initial denoised image; and separating the initial denoised image to a skeleton component and a residual component by the controlled iterative operation to generate the skeleton component as an output image.
Abstract:
The present invention is a spectral image processing method including the steps of selecting observed spectral information from a multispectral image of a scene, generating a constraint on a spectral distribution of an illumination and a constraint on a surface reflectance of an object using a basis vector of the illumination and a basis vector of the surface reflectance, generating an observation equation that takes as parameters a weight coefficient of the basis vector of the illumination and a weight coefficient of the basis vector of the surface reflectance using the observed spectral information, the constraint on the spectral distribution of the illumination, and the constraint on the surface reflectance of the object, and calculating the spectral distribution of the illumination and the surface reflectance of the object of the scene from the observation equation.
Abstract:
The present invention is a method including: correcting difference between a pixel statistical value of a specific layer and a pixel statistical value of a layer that is wider than the specific layer using an edge information of a layer that is wider than the specific layer; correcting the pixel statistical value of the specific layer using post-correction difference and the pixel statistical value of layer that is wider than the specific layer; recorrecting the post-correction pixel statistical value of the specific layer using difference between a pre-correction pixel statistical value of the specific layer and the post-correction pixel statistical value of the specific layer and the edge information of a layer that is wider than the specific layer; and correcting the target pixel by repeating correction and recorrection until the layer reduces its range from the maximum range to the minimum range.
Abstract:
An imaging system includes: an information acquisition unit that acquires movement information about a movement of at least a part of a target; a periodicity estimation unit that estimates periodicity about the movement of at least a part of the target, on the basis of the movement information; and an image acquisition unit that controls a camera for imaging the target on the basis of the periodicity and acquires an image of the target. According to such an imaging system, it is possible to properly image a moving target.
Abstract:
An illumination device emits light toward a moving subject. A controller controls light emitted from the illumination device so that the amount of light applied to the subject is adjusted to a specific amount or smaller. For example, when the illumination device emits light in a pulsed manner, the controller may control the amount of light applied to the subject by controlling at least one of the pulse width and the pulse intensity of the light. The controller may, for example, control the light emitted from the illumination device according to the distance between the illumination device and the subject.
Abstract:
An information providing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a face image; determine whether a person in the face image is unsuitable for iris data acquisition based on the face image; and output information based on determining that the person is unsuitable for the iris data acquisition when the person is determined to be unsuitable for the iris data acquisition.