Abstract: A checkout-payment device includes a table on which an item can be placed; a touch screen display; a camera for shooting the item on the table; and a controller configured to perform an operation for recognizing the item based on an image captured by the camera, display an item recognition result on the touch screen display, and start a confirmation waiting time during which the controller continues the item recognition operation and the user can confirm the item recognition result, followed by transitioning to a state in which the user's instructions for payment execution is acceptable.

Abstract: A checkout-payment device includes a controller configured to recognize items to be purchased by a user from an image captured by a camera, make checkout and payment for the recognized items, and perform face recognition to identify the user based on an image of the user’s face captured by a second camera, wherein, upon recognition of an age-restricted item, after identifying a user, the controller performs age verification based on information on the age of the identified user to determine whether the user is subject to the age restrictions. The device also includes a touch screen display configured to display results of operations for item recognition, checkout and payment, and face recognition.

Abstract: A checkout-payment device includes a table on which an item can be placed; a touch screen display; a camera for shooting the item on the table; and a controller configured to perform an operation for recognizing the item based on an image captured by the camera, display an item recognition result on the touch screen display, and start a confirmation waiting time during which the controller continues the item recognition operation and the user can confirm the item recognition result, followed by transitioning to a state in which the user's instructions for payment execution is acceptable.

Abstract: A cost calculation and payment device includes: a main body provided with a placement portion on which merchandise items are placed; a first camera for capturing an image of the merchandise items placed on the placement portion; a second camera for capturing an image of a face of the user; a controller for performing a process related to cost calculation by recognizing the merchandise items in question based on a merchandise item image acquired by the first camera and to perform a process related to face authentication based on a face image acquired by the second camera; a display for displaying a cost calculation result and a payment result acquired by the controller, and a projector for projecting an image onto the placement portion, wherein the display is disposed in a vicinity of the placement portion.

Abstract: A collation device is configured to include a processor, and a storage unit that stores a predetermined determination condition in advance, under which a photographic image which is an image obtained by imaging a photograph of the subject is capable of being eliminated, the processor is configured to detect brightness distribution of a face image obtained by imaging an authenticated person with an imaging unit, determine whether or not the detected brightness distribution satisfies a determination condition, and perform face authentication using the face image satisfying the determination condition.

Abstract: Collation device is configured to include a processor, and a storage unit that stores a blurring amount which is set in advance for collation in association with the registered image in advance, in which the processor blurs a face image obtained by imaging an authenticated person with imaging unit with a blurring amount for collation in association with a registered image corresponding to the face image, and uses the image blurred with the blurring amount for collation to perform face authentication. The blurring amount for collation is set such that, a real image blurred by the blurring amount can be authenticated but a photographic image blurred by the blurring amount cannot be authenticated, the real image being a face image obtained by imaging a real face of an authenticated person and the photographic image being a face image obtained by imaging a face photograph of the authenticated person.

Abstract: Collation device is configured to include a processor, and a storage unit that stores a blurring amount which is set in advance for collation in association with the registered image in advance, in which the processor blurs a face image obtained by imaging an authenticated person with imaging unit with a blurring amount for collation in association with a registered image corresponding to the face image, and uses the image blurred with the blurring amount for collation to perform face authentication. The blurring amount for collation is set such that, a real image blurred by the blurring amount can be authenticated but a photographic image blurred by the blurring amount cannot be authenticated, the real image being a face image obtained by imaging a real face of an authenticated person and the photographic image being a face image obtained by imaging a face photograph of the authenticated person.

Abstract: A collation device is configured to include a processor, and a storage unit that stores a predetermined determination condition in advance, under which a photographic image which is an image obtained by imaging a photograph of the subject is capable of being eliminated, the processor is configured to detect brightness distribution of a face image obtained by imaging an authenticated person with an imaging unit, determine whether or not the detected brightness distribution satisfies a determination condition, and perform face authentication using the face image satisfying the determination condition.

Abstract: To improve precision in collation processes or create a database of collation images by registering at least a part of captured images not matching a previously registered face image, as a collation face image, a face collation apparatus includes an image acquirer that acquires captured face images captured by a capturing device, a registered-person image storage that stores registered-person images that are previously registered face images, an image collator that collates the captured images with the registered-person images, an unregistered-person image storage that stores the captured images that do not match the registered-person images, an image output that outputs at least one of the unregistered-person images stored in the unregistered-person image storage to a display device, and an image register, selected to be registered by a user, that registers the unregistered-person image, among the unregistered-person images output to the display device, as a registered-person image in the registered-person i

Abstract: To improve precision in collation processes or create a database of collation images by registering at least a part of captured images not matching a previously registered face image, as a collation face image, a face collation apparatus includes an image acquirer that acquires captured face images captured by a capturing device, a registered-person image storage that stores registered-person images that are previously registered face images, an image collator that collates the captured images with the registered-person images, an unregistered-person image storage that stores the captured images that do not match the registered-person images, an image output that outputs at least one of the unregistered-person images stored in the unregistered-person image storage to a display device, and an image register, selected to be registered by a user, that registers the unregistered-person image, among the unregistered-person images output to the display device, as a registered-person image in the registered-person i

Abstract: There is provided an image processing apparatus for performing a stable attention condition determination, regardless of the shape and surrounding environment of an object of interest and regardless that the object is unknown or known. The image processing apparatus comprises a direction detector, a displacement detector, and an attention condition determiner. The direction detector detects, from a certain image including a person image, the direction information in two body regions of a person represented by the person image. The displacement detector calculates, from the two direction information, a displacement ratio that is the ratio between the two direction displacements. The attention condition determiner determines, according to a first and a second displacement ratio, how much the person pays attention to a certain object.

Abstract: There is provided an image processing apparatus for performing a stable attention condition determination, regardless of the shape and surrounding environment of an object of interest and regardless that the object is unknown or known. The image processing apparatus comprises a direction detector, a displacement detector, and an attention condition determiner. The direction detector detects, from a certain image including a person image, the direction information in two body regions of a person represented by the person image. The displacement detector calculates, from the two direction information, a displacement ratio that is the ratio between the two direction displacements. The attention condition determiner determines, according to a first and a second displacement ratio, how much the person pays attention to a certain object.

Abstract: An object recognizing apparatus is provided which is capable of precisely recognizing an object in an input image with the use of a corresponding learning image even when a local-segment of the input image coincides with a learning-local-segment of another similar learning image.

Abstract: An object recognizing apparatus is provided which is capable of precisely recognizing an object in an input image with the use of a corresponding learning image even when a local-segment of the input image coincides with a learning-local-segment of another similar learning image.

Abstract: An object recognizing apparatus is provided which is capable of precisely recognizing an object in an input image with the use of a corresponding learning image even when a local-segment of the input image coincides with a learning-local-segment of another similar learning image.

Abstract: The present invention detects distances between cars through image processing. A car ahead is detected from an image taken by one camera and a relative positional relation between the detected vehicle and road edges is detected. On the other hand, a three-dimensional road structure is reconstructed from the image taken by one camera. Then, taking into account the relative positional relation in the image between the vehicle and road edges, the position of the vehicle on the reconstructed three-dimensional road structure is determined. Then, the distance from the camera to the vehicle in the real space is measured through arithmetic operations. By focusing the range of performing image processing in one image, it is possible to reduce the amount of data handled.