Nec Corporation

Ruihan Bao

Kota Iwamoto

Takami Sato

Kyota Higa

Ryota Mase

Shin Norieda

Yoshinori Saida

Makoto Yoshimoto

Yaeko Yonezawa

Takaaki Yoneyama

Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Display condition analysis device, display condition analysis method, and program recording medium

The present invention provides an image processing apparatus () including: an image processing unit () that recognizes one or a plurality of objects to be recognized which are included in an image to be processed, by an image recognition process using registration data including an image and/or a feature value of each of a plurality of types of objects to be recognized; an attribute-for-area specifying unit () that specifies one or a plurality of areas in the image to be processed and specifies attribute information in association with the area; and a decision unit () that decides the one or the plurality of objects to be recognized which are included in the image to be processed, on the basis of a result of the image recognition process by the image processing unit () and the area and the attribute information specified by the attribute-for-area specifying unit ().

Image processing apparatus, and image processing method

The present invention stores information associated with an object such that the information can be displayed in display mode corresponding to the position of the object, even in a state wherein the object is not recognized. An information processing deviceincludes: an acquisition unitthat acquires an image; a recognition unitthat recognizes an object on the basis of the image acquired by the acquisition unit; and a storing unitthat stores, with second information relating to the position of the object, first information corresponding to the object, in the cases where the object is recognized by the recognition unit

Information processing device, information processing method, and program storing medium

An image acquisition unit () acquires a captured image containing an inspection target instrument. An inspection information acquisition unit () acquires inspection information regarding the instrument contained in the captured image. The inspection information is information indicating an inspection item of the instrument. A first display control unit () displays an indication representing an inspection spot corresponding to the inspection item indicated by the inspection information on the display device (). For example, the first display control unit () displays the indication representing the inspection spot so that the indication is superimposed on the inspection spot on a display device (). For example, the first display control unit () displays the indication in the inspection spot on the display device () or near the instrument.

Inspection spot output apparatus, control method, and storage medium

A vending machine recognition apparatus includes: a receiving unit configured to receive a captured image obtained by capturing an image of a vending machine; and a recognition unit configured to recognize merchandise from the captured image and recognize a price of the merchandise from a peripheral image region of an image region of the recognized merchandise.

Vending machine recognition apparatus, vending machine recognition method, and recording medium

Image processing apparatus includes a local amount generation unit, a correspondence point calculation unit, a relative correspondence point information calculation unit, a correspondence point selecting unit and a decision unit. The local feature value generation unit calculates, for a first image, a set of information about first local feature values including a first feature point(s). The correspondence point calculation unit calculates, for a second image, as information about correspondence point(s), a correspondence relation between the first and second feature point(s) contained in a set of information about second local feature values calculated from the second image. The relative correspondence point information calculation unit calculates relationships of scales of feature points, as the information about the relative scale sizes of correspondence points, based on the set of information about the first local feature values and the set of information about the second local feature values on the information about correspondence point(s).

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Tokyo, Japan

Ruihan Bao