Abstract: According to one embodiment, a position and attitude estimation device includes a processor. The processor is configured to acquire time-series images continuously captured by a capture device installed on a mobile object, estimate first position and attitude of the mobile object based on the acquired time-series images, estimate a distance to a subject included in the acquired time-series images and correct the estimated first position and attitude to a second position and attitude based on an actual scale, based on the estimated distance.

Abstract: According to one embodiment, a position and attitude estimation device includes a processor. The processor is configured to acquire time-series images continuously captured by a capture device installed on a mobile object, estimate first position and attitude of the mobile object based on the acquired time-series images, estimate a distance to a subject included in the acquired time-series images and correct the estimated first position and attitude to a second position and attitude based on an actual scale, based on the estimated distance.

Abstract: According to one embodiment, a moving object action registration apparatus includes the following units. The acquisition unit acquires at least one reference image including a first reference image including a marker. The landmark detection unit detects, as a landmark, a feature point indicating a characteristic portion in an environment based on the at least one reference image. The marker detection unit detects the marker based on the first reference image. The calculation unit calculates a relative position between the landmark and the marker. The attribute identification unit identifies an attribute of the marker associated with an action. The registration unit registers the relative position and action information being based on the attribute in a database.

Abstract: A location estimating apparatus according to an embodiment includes a degree-of-similarity calculator, a correspondence calculator, and a location calculator. The degree-of-similarity calculator calculates a degree of similarity between the input image and the reference image by an arithmetic operation that varies, in a non-discrete manner, the degree of similarity in accordance with a non-discrete variation of a first parameter. The correspondence calculator calculates correspondence between a pixel of the input image and a pixel of the reference image by an arithmetic operation that varies, in a non-discrete manner, the correspondence in accordance with a non-discrete variation of a second parameter. The location calculator calculates a first location indicating a position and/or an orientation of the first imaging device when the input image is captured by an arithmetic operation that varies, in a non-discrete manner, the first location in accordance with a non-discrete variation of the correspondence.

Abstract: According to an embodiment, an estimation device includes one or more hardware processors configured to function as an acquisition unit, a first estimation unit, a first calculation unit, a second estimation unit, a second calculation unit, and a determination unit. The acquisition unit acquires an image captured by a camera. The first estimation unit estimates first estimation information from the image. The first calculation unit calculates first reliability of the first estimation information. The second estimation unit estimates second estimation information. The second calculation unit calculates second reliability of the second estimation information. The determination unit decides at least the position or pose of the camera from the first and second estimation information, based on the first and second reliability, and outputs at least the decided position or pose as a determination result. The second estimation unit estimates the second estimation information based on a past determination result.

Abstract: According to one embodiment, a moving object action registration apparatus includes the following units. The acquisition unit acquires at least one reference image including a first reference image including a marker. The landmark detection unit detects, as a landmark, a feature point indicating a characteristic portion in an environment based on the at least one reference image. The marker detection unit detects the marker based on the first reference image. The calculation unit calculates a relative position between the landmark and the marker. The attribute identification unit identifies an attribute of the marker associated with an action. The registration unit registers the relative position and action information being based on the attribute in a database.

Abstract: A location estimating apparatus according to an embodiment includes a degree-of-similarity calculator, a correspondence calculator, and a location calculator. The degree-of-similarity calculator calculates a degree of similarity between the input image and the reference image by an arithmetic operation that varies, in a non-discrete manner, the degree of similarity in accordance with a non-discrete variation of a first parameter. The correspondence calculator calculates correspondence between a pixel of the input image and a pixel of the reference image by an arithmetic operation that varies, in a non-discrete manner, the correspondence in accordance with a non-discrete variation of a second parameter. The location calculator calculates a first location indicating a position and/or an orientation of the first imaging device when the input image is captured by an arithmetic operation that varies, in a non-discrete manner, the first location in accordance with a non-discrete variation of the correspondence.

Abstract: An image collation system comprising: a detection unit that detects an object from an image acquired by imaging a predetermined position using an imaging unit; a tracking unit that tracks an object image of the same object; a selection unit that calculates an evaluated value for each of the object images of the same object and selects the object image of which the evaluated value is equal to or greater than a predetermined value as a best shot image; a collation unit that performs a collation process of collating the best shot image with a registered image and determining whether the object present at the predetermined position is a previously registered object; and a display that displays a performance result of the collation process, the image collation system including a storage unit that stores the best shot image; and a preparation unit that updates or re-prepares an evaluation expression that calculates the evaluated value.

Abstract: An image collation system comprising: a detection unit that detects an object from an image acquired by imaging a predetermined position using an imaging unit; a tracking unit that tracks an object image of the same object; a selection unit that calculates an evaluated value for each of the object images of the same object and selects the object image of which the evaluated value is equal to or greater than a predetermined value as a best shot image; a collation unit that performs a collation process of collating the best shot image with a registered image and determining whether the object present at the predetermined position is a previously registered object; and a display that displays a performance result of the collation process, the image collation system including a storage unit that stores the best shot image; and a preparation unit that updates or re-prepares an evaluation expression that calculates the evaluated value.

Abstract: According to an embodiment, an image processing apparatus includes a hardware processor. The hardware processor is configured to acquire an image; calculate a density of an object captured in a region obtained by dividing the image; calculate a first density relative value of the region to a surrounding region which is surrounding the region; and detect an attention region out of the regions included in the image according to the first density relative value.

Abstract: According to an embodiment, an image processing apparatus includes an obtainer, a setter, a first calculator, a second calculator, and a third calculator. The obtainer obtains an image. The setter sets a plurality of first regions and a plurality of second regions on the image. Each of the first regions and the second regions includes two or more pixels, and at least one of the second regions is different in position or size from the first regions. The first calculator calculates first feature data representing an image feature of the first regions. The second calculator calculates second feature data which is a luminance gradient between the second regions. The third calculator calculates relative feature data representing a relative relationship between the first feature data and the second feature data.

Abstract: According to one embodiment, a data processing apparatus is capable of sensing a body shape of a user. The data processing apparatus includes a support base placed on a floor, a semi-silvered mirror standing from a rear end of the support base and a sensor including a light-receiving element and placed at a predetermined depression angle with respect to a horizontal orientation of the light-receiving element. The sensor is located such that the light-receiving element is positioned behind a mirror surface of the semi-silvered mirror, and a center of the light-receiving element is positioned above a center of the semi-silvered mirror.

Abstract: According to an embodiment, an information processing apparatus includes a first image acquisition unit, a first information acquisition unit, a reception unit, a generation unit, and a writing unit. The first image acquisition unit is configured to acquire a first image obtained by imaging by an imaging unit. The first information acquisition unit is configured to acquire any of multiple pieces of information capable of being associated with the first image. The reception unit is configured to receive a first input. The generation unit is configured to associate the first image acquired in the first image acquisition unit with the information piece acquired in the first information acquisition unit to generate an association data piece when the reception unit receives the first input. The writing unit is configured to write the association data piece into a storage unit.

Abstract: According to an embodiment, an information processing apparatus includes an acquisition unit, a detection unit, an extraction unit, and a reading unit. The acquisition unit is configured to acquire an input image including a marker having a position detection pattern. The detection unit is configured to detect the position detection pattern using identification data used for detecting the position detection pattern included in the input image, the identification data being from a plurality of position detection patterns having different forms from each other. The extraction unit is configured to extract, from the input image, the marker corresponding to the detected position detection pattern. The reading unit is configured to read data associated with the extracted marker.

Abstract: According to an embodiment, a retrieval apparatus includes a first receiving device, an obtaining device, a calculator, a determining controller, and a first display controller. The first receiving device receives selection of at least one mask image from among a plurality of predetermined mask images indicating retrieval target areas. The obtaining device obtains a first image. The calculator calculates a first feature quantity of an extraction area defined by the mask image in the first image. The determining controller searches for second information, in which a second image and a second feature quantity of each of a plurality of items are associated with each other, and determines the second image corresponding to the second feature quantity having a degree of similarity with the first feature quantity equal to or greater than a threshold value. The first display controller performs control to display the determined second image on a display.

Abstract: According to an embodiment, a searching device includes an acquiring unit, a receiver, a calculator, and a determining unit. The acquiring unit is configured to acquire a first image. The receiver is configured to receive selection of a first area contained in the first image. The calculator is configured to calculate, for each of a plurality of second images to be searched, a first similarity with the first area and a second similarity with a second area that has been received by the receiver before the first area. The determining unit is configured to determine a third image or third images to be presented from among the second images on the basis of a result of a logical operation of the first similarity and the second similarity for each of the second images.

Abstract: According to an embodiment, an image processing apparatus includes an obtainer, a setter, a first calculator, a second calculator, and a third calculator. The obtainer obtains an image. The setter sets a plurality of first regions and a plurality of second regions on the image. Each of the first regions and the second regions includes two or more pixels, and at least one of the second regions is different in position or size from the first regions. The first calculator calculates first feature data representing an image feature of the first regions. The second calculator calculates second feature data which is a luminance gradient between the second regions. The third calculator calculates relative feature data representing a relative relationship between the first feature data and the second feature data.

Abstract: According to an embodiment, an information processing apparatus includes an acquisition unit, a detection unit, an extraction unit, and a reading unit. The acquisition unit is configured to acquire an input image including a marker having a position detection pattern. The detection unit is configured to detect the position detection pattern using identification data used for detecting the position detection pattern included in the input image, the identification data being from a plurality of position detection patterns having different forms from each other. The extraction unit is configured to extract, from the input image, the marker corresponding to the detected position detection pattern. The reading unit is configured to read data associated with the extracted marker.

Abstract: According to an embodiment, an information processing apparatus includes a first image acquisition unit, a first information acquisition unit, a reception unit, a generation unit, and a writing unit. The first image acquisition unit is configured to acquire a first image obtained by imaging by an imaging unit. The first information acquisition unit is configured to acquire any of multiple pieces of information capable of being associated with the first image. The reception unit is configured to receive a first input. The generation unit is configured to associate the first image acquired in the first image acquisition unit with the information piece acquired in the first information acquisition unit to generate an association data piece when the reception unit receives the first input. The writing unit is configured to write the association data piece into a storage unit.

Abstract: According to an embodiment, an information processing system includes a determination unit, a selection unit, and a display control unit. The determination unit is configured to determine whether a first feature value extracted from a first image and a second feature value extracted from a second image are identical or similar. The selection unit is configured to select content data from a plurality of content data so that the selected content data is different between when it is determined that the first feature value and the second feature value are identical or similar and when it is determined that the first feature value and the second feature value are not identical or similar. The display control unit is configured to display the selected content data on a display unit.