Panasonic Intellectual Property Management Co., Ltd.

Matsushita Electric Industrial Co., Ltd.

Panasonic Corporation

Megumi Yamaoka

Kenji Nagao

Takayuki Matsukawa

Sotaro Tsukizawa

Keisuke Hayata

Kaori Mori

Nobuyoshi Murakami

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.

Checkout-payment device and system using a confirmation waiting time for confirmation of an item recognition

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.

Collation device and collation method

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.

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 image storage.

Face collation device, face collation system comprising same, and face collation method

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. The first displacement ratio is calculated in the displacement detector by using first direction information detected by the direction detector from a first certain image including a first person image, and the second displacement ratio is calculated in the displacement detector by using second direction information detected by the direction detector from a second certain image including the first person image.

Image processing apparatus

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. The apparatus comprises (1) image dividing means for dividing an input image, which is received from image input means, into local-segments, (2) similar-local-segment extracting means for extracting a similar learning-local-segment to the local-segment of the input image from a learning image database, (3) object position estimating means for estimating the position of an object to be identified in the input image from the coordinates of the local-segment and the coordinates of the learning-local-segment corresponding to the local-segment, (4) counting means for counting the local-segments coincide with their corresponding learning-local-segments, and (5) object determining means for judging that the object to be identified is present when a result of counting is greater than a predetermined number. Consequently, the object and its position in any input image can be detected at higher accuracy.

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Tokyo, Japan

Megumi Yamaoka