Kabushiki Kaisha Toshiba

Toshiba Electronic Devices & Storage Corporation

Toshiba Infrastructure Systems & Solutions Corporation

Yusuke Tazoe

Masashi Nishiyama

Masahiro Sekine

Akihito Seki

Goh Itoh

Tomoki Watanabe

Hidetaka Ohira

Ryo Nakashima

Hiroshi Sukegawa

Kaoru Sugita

Hiroo Saito

Tomoya Tsuruyama

Kota Saito

Takuya Miyamoto

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.

Position and attitude estimation device, position and attitude estimation method, and storage medium

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.

Moving object action registration apparatus, moving object action registration system, and moving object action determination apparatus

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.

Location estimating apparatus and method, learning apparatus and method, and computer program products

Image collation system and image collation method

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.

Image processing apparatus and method, and computer program product

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.

Information processing apparatus, information processing method and computer program product

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.

Information processing apparatus, information processing method, and computer program product

Growing community of inventors

Tokyo, Japan

Yusuke Tazoe