Panasonic Intellectual Property Management Co., Ltd.

Yoshihide Sawada

Yumiko Kato

Taichi Sato

Hideto Motomura

Yoshikuni Sato

Yasuhiro Mukaigawa

Hiroyuki Kubo

Tsuyoshi Tanaka

Yutaka Hirose

Yoshihisa Kato

Toru Nakada

Yasuhiko Adachi

Takuya Funatomi

Satoshi Sato

Hiroyuki Mori

Fusataka Kuniyoshi

Toshiya Mori

Yasuhisa Inada

Kazuki Kozuka

Masanaga Tsuji

Masahiro Iwasaki

Kiyotaka Tsuji

Toru Okino

Shota Yamada

Manabu Kamoshida

Mohamed Sahim Kourkouss

An object recognition apparatus includes a light source, an image sensor, a control circuit, and a signal processing circuit. The control circuit causes the light source to emit first light toward a scene and subsequently emit second light toward the scene, the first light having a first spatial distribution, the second light having a second spatial distribution. The control circuit causes the image sensor to detect first reflected light and second reflected light in the same exposure period, the first reflected light being caused by reflection of the first light from the scene, the second reflected light being caused by reflection of the second light from the scene. The signal processing circuit recognizes an object included in a scene based on photodetection data output from the image sensor, and based on an object recognition model pre-trained by a machine learning algorithm.

Object recognition apparatus, object recognition method, and non-transitory computer readable medium

A range-information acquiring apparatus includes a light source, an image sensor, a control circuit, and a signal processing circuit. The control circuit causes the light source to emit first light toward a scene and subsequently emit second light toward the scene, the first light having a first spatial distribution, the second light having a second spatial distribution. The control circuit causes at least a portion of plural photodetector elements of the photodetector device to detect first reflected light and second reflected light in the same exposure period, the first reflected light being caused by reflection of the first light from the scene, the second reflected light being caused by reflection of the second light from the scene. The signal processing circuit generates range data based on photodetection data output from the photodetector elements of the photodetector device.

Range-information acquiring apparatus, range-information acquiring method, and non-transitory computer-readable medium

The present disclosure provides a technique which makes it possible to evaluate a state of a cell aggregation of one or more spheroids. In the culture state determination device according to the present disclosure, a plurality of light sources sequentially illuminate a plurality of cell aggregations put on an image sensor. The image sensor acquires captured images of the plurality of the cell aggregations each time when the plurality of the light sources illuminate the plurality of the cell aggregations. Control circuitry extracts a region including an image of the cell aggregation in the captured image; generates three-dimensional image information of the region using a plurality of the captured images; extracts an outer shape of the cell aggregation and a cavity part inside the cell aggregation using the three-dimensional image information; calculates a first volume that is a volume based on the outer shape of each of the cell aggregation and a second volume that is a volume of the cavity part based on the cavity part of each of the cell aggregation in the three-dimensional image information; and determines a culture state of the cell aggregations using the first volume and the second volume.

Culture state determination based on direction-dependent image information

A learning apparatus includes at least one memory and at least one circuit. The circuit (a) obtains a first neural network that has learned by using source learning data and obtains target learning data, the target learning data including a plurality of first data items each of which is given a first label and a plurality of second data items each of which is given a second label, (b) obtains a plurality of first output vectors by inputting the plurality of first data items to a second neural network and obtains a plurality of second output vectors by inputting the plurality of second data items to the second neural network, and (c) generates a first relation vector corresponding to the first label by using the plurality of first output vectors and generates a second relation vector corresponding to the second label by using the plurality of second output vectors.

Learning apparatus, identifying apparatus, learning and identifying system, and recording medium

An apparatus generates motor function estimation information by performing a process including calculating, using a sensor value of a subject, a feature vector corresponding to a feature value of a feature in a time segment, acquiring a first weight vector using the feature vector and a motor ability value of the subject, calculating a gradient vector with respect to the feature vector, determining a new time segment in the predetermined time period and a new feature value based on the new time segment, calculating, using the sensor value, a feature candidate vector corresponding to a feature value of the new feature in the new time segment, determining a feature candidate vector satisfying a predetermined condition associated with a gradient vector based on a difference between the feature candidate vector and the feature vector, and correcting the first weight vector to a second weight vector using the feature candidate vector.

Motor function estimation information generation apparatus, motor function estimation system, motor function estimation information generation method, motor function estimation method and storage medium

An electronic prepared slide includes: an image sensor that has a light receiving surface and receives, on the light receiving surface, light that has passed through a specimen disposed above the light receiving surface; and a removable nonvolatile transparent film that is disposed on the light receiving surface and seals the light receiving surface.

Electronic prepared slide, solid state imaging element, and electronic prepared slide assembly method

A transfer learning apparatus includes a transfer target data evaluator and an output layer adjuster. The transfer target data evaluator inputs a plurality of labeled transfer target data items each assigned a label of a corresponding evaluation item from among one or more evaluation items to a neural network apparatus having been trained by using a plurality of labeled transfer source data items and including in an output layer output units, the number of which is larger than or equal to the number of evaluation items, and obtains evaluation values output from the respective output units. The output layer adjuster preferentially assigns, to each of the one or more evaluation items, an output unit from which the evaluation value having the smallest difference from the label of the evaluation item is obtained with a higher frequency, as an output unit that outputs the evaluation value of the evaluation item.

Transfer learning apparatus, transfer learning system, transfer learning method, and recording medium

An information processing system that appropriately estimates a driving conduct includes: a detector that detects a vehicle environment state, which is at least one of surroundings of a vehicle and a driving state of the vehicle; a behavior learning unit configured to cause a neural network to learn a relationship between the vehicle environment state detected by the detector and a behavior of the vehicle implemented after the vehicle environment state; and a behavior estimation unit configured to estimate a behavior of the vehicle by inputting, into the neural network that learned, the vehicle environment state detected at a current point in time by the detector.

Information processing system, information processing method, and program

An image generating apparatus is provided with: first and second light sources that illuminate a material; an image sensor on which the material is disposed; a mask which includes a light-transmitting part that transmits light and a light-blocking part that blocks light, and which is positioned between the image sensor and the first and second light sources; and a light and dark image processing unit. The image sensor acquires first and second images of the material when illuminated by the first and second light sources, respectively. The light and dark image processing unit derives a difference between a luminance value of a pixel included in the first image and a luminance value of a pixel included in the second image at the same position as the pixel included in the first image, and thereby generates a third image of the material.

Image generating apparatus and image generating method

A display control apparatus includes a memory and a circuit. The circuit obtains an electrophoretic image from the memory, causes a display to display the electrophoretic image as a first display image, receives a selection of a first pixel in the electrophoretic image displayed on the display, obtains one or more first useful proteins corresponding to the first pixel and one or more second useful proteins corresponding to one or more second pixels, a length between the first pixel and each of the one or more second pixels being less than or equal to a first length among the pixels, and causes the display to display the electrophoretic image, the one or more first useful proteins, and the one or more second useful proteins as a second display image.

Display control apparatus, display control method, and recording medium

An image generating apparatus is provided with a first light source and a second light source, an image sensor, a mask including a light-transmitting part and a light-blocking part, and a dark image processing unit. The image sensor acquires a first image of the material when illuminated by the first light source, and acquires a second image of the material when illuminated by the second light source. The image sensor includes a first pixel region and a second pixel region. The light-blocking part is positioned between the first pixel region and the first light source. The light-blocking part is positioned between the first pixel region and the first light source. The dark image processing unit uses first pixel information corresponding to a first pixel region in the first image and second pixel information corresponding to a second pixel region in the second image to generate a third image.

An image generation apparatus includes first and second light sources, an image sensor, a mask, and a processing circuit. The image sensor acquires a first image when the first light source is energized and acquires a second image when the second light source is energized. The processing circuit obtains a pixel value based on a direct light component or a pixel value based on a component other than the direct light component corresponding to a focal point by using pixel values of first pixel regions of the first image, pixel values of second pixel regions of the second image, the ratios of the direct light and the light other than the direct light from the first light source, and the ratios of the direct light and the light other than the direct light from the second light source and generates a cross-sectional image of a substance on the focal plane.

Image generation apparatus and image generation method

An image generation device generates a plurality of reference in-focus images of an object placed on a surface of an image sensor by using a plurality of images captured by the image sensor using sensor pixels when the object is irradiated with light by a plurality of illuminators. Each of the reference in-focus images is an in-focus image corresponding to one of a plurality of virtual reference focal planes that are located between the image sensor and the plurality of illuminators. The plurality of reference focal planes pass through the object and are spaced apart from one another. The image generation device generates a three-dimensional image of the object by using the reference in-focus images and displays the three-dimensional image on a display screen.

Image generation device, image generation method, recording medium, and processing method

A socket includes a first base member that includes a module mount unit allowing a module including an imaging device and an object to be placed thereon and an electric connector that electrically connects the imaging device to an external apparatus, a second base member having an opening, and an engagement unit that causes the first base member to be engaged with the second base member under a condition that the module placed on the module mount unit is sandwiched by the first and second base members. When the first base member is engaged with the second base member by the engagement unit under a condition that the module placed on the module mount unit is sandwiched by the first base member and the second base member, the electric connector is electrically connected to the imaging device, and the object receives illumination light from a light source through the opening.

Socket, adaptor, and assembly jig having a movable portion with a rotation axis slidably connected to a wall portion that upwardly extends from a bottom plate

An image acquisition device according to the present disclosure includes a lighting system and an irradiation direction decision section. In a module, a subject and an imaging element are integrally formed. The lighting system sequentially irradiates the subject with illumination light in a plurality of different irradiation directions based on the subject such that the illumination light transmitted through the subject is incident on the imaging element. The module acquires a plurality of images according to the plurality of different irradiation directions. Before the plurality of images are acquired according to the plurality of different irradiation directions, the irradiation direction decision section decides the plurality of different irradiation directions based on a difference between a first preliminary image and a second preliminary image. The first preliminary image is acquired when the subject is irradiated with first illumination light in a first irradiation direction, and the second preliminary image is acquired when the subject is irradiated with second illumination light in a second irradiation direction.

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Kyoto, Japan

Yoshihide Sawada