Abstract: A learning system (10) comprises: a selection unit (110) that selects from images corresponding to a plurality of frames shot at a first frame rate, part of the images, the part including an image taken outside a focus range; an extraction unit (120) that extracts a feature amount from the part of the images; and a learning unit (130) that performs learning for the extraction unit based on the feature amount extracted and correct answer information indicating a correct answer with respect to the feature amount. According to such a learning system, it is possible to execute machine learning assumed that moving images are shot at a low frame rate.

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: To provide a system, a method and the like for acquiring more images or more quickly focused images. A control device acquires information regarding a situation of a range captured by an imaging device, determines a mode according to an assumed situation of the range captured by the imaging device among a plurality of focusing modes, and transmits designation information specifying the determined mode to the imaging device. The imaging device receives the designation information from the control device, and captures an image using the mode specified by the received designation information.

Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

Abstract: The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.

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: An imaging system includes: an imaging unit that captures an image of an eye area of a target person by using an image sensor that allows imaging without saturating observed light; an acquisition unit that obtains, from the image, a first information about a first area that does not include reflection of light by an eyeglass lens of the target person, and a second information about a second area that includes the reflection of the light; and a correction unit that corrects the second information so as to reduce an influence of the reflection, on the basis of the first information. According to such an imaging system, it is possible to properly capture the iris image even when the target person is wearing eyeglasses.

Abstract: A controller controls the readout of an image from iris image pick-up devices for performing image pick-up of an iris of a subject. In the control of the readout of an image from the iris image pick-up devices, the controller sets a region of interest to be treated as a target of the image readout. The controller stores past information, and in the case of performing image processing on the same subject, the controller determines whether or not an eye region of the subject was successfully covered by the region of interest used in the past. In the case of determining that the eye region of the subject was not successfully covered, the controller corrects the readout of an image from the iris image pick-up devices.

Abstract: To provide a system, a method and the like for acquiring more images or more quickly focused images. A control device acquires information regarding a situation of a range captured by an imaging device, determines a mode according to an assumed situation of the range captured by the imaging device among a plurality of focusing modes, and transmits designation information specifying the determined mode to the imaging device. The imaging device receives the designation information from the control device, and captures an image using the mode specified by the received designation information.

Abstract: A photographing system according to one example embodiment includes a hardware photographing device configured to photograph each of a first pattern and a second pattern; at least one memory storing instructions; and at least one processor configured to execute the instructions to: set, for the hardware photographing device, a control value for changing the focal position; evaluate degrees of focus of a plurality of images of the first pattern and select an image having a maximum evaluation value, as well as evaluate degrees of focus of a plurality of images of the second pattern and select an image having a maximum evaluation value; and acquire a correspondence relationship between a focal position of an optical system and a control value, based on the control values used in capturing the images of the first pattern and the second pattern, and subject distances of the first pattern and the second pattern.

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: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the 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: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

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 parameter optimization system (10) includes: an image sensor (110) having at least one sensing parameter; a parameter setting unit (120) configured to be able to change the sensing parameter; a score calculation unit (130) configured to calculate a score from an image acquired by the image sensor; and a parameter determination unit (140) configured to determine a right parameter value that is a value of the sensing parameter at which the score is relatively high, based on a value of the sensing parameter and the score corresponding to the value of the sensing parameter. According to such a parameter optimization system, the sensing parameter of the image sensor can be set to an appropriate value.

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: To provide a system, a method and the like for acquiring more images or more quickly focused images. A control device acquires information regarding a situation of a range captured by an imaging device, determines a mode according to an assumed situation of the range captured by the imaging device among a plurality of focusing modes, and transmits designation information specifying the determined mode to the imaging device. The imaging device receives the designation information from the control device, and captures an image using the mode specified by the received designation information.

Abstract: An image processing system according to the present disclosure includes: an image acquisition unit configured to acquire a monochrome image of a subject including a target part; a hint acquisition unit configured to acquire a category of the target part and a first color hint indicating a color of the target part; a hint conversion unit configured to convert the first color hint into a second color hint indicating the color of the target part based on the acquired category; and a colorization generation unit configured to generate a colorized image corresponding to the monochrome image from the monochrome image and the second color hint of the target part by using a prediction model trained by machine learning.