Abstract: According to one embodiment, an image processing device includes storage and a processor. The storage stores a statistical model generated by learning bokeh produced in a first image affected by aberration of an optical system, the bokeh changing nonlinearly in accordance with a distance to a subject in the first image. The processor obtains a second image affected by the aberration of the optical system. The processor inputs the second image to the statistical model and obtains distance information indicating a distance to a subject in the second image.

Abstract: According to one embodiment, a robot motion planning device includes processing circuitry. The processing circuitry receives observation information obtained by observing at least part of a movable range of a robot. The processing circuitry determines, in a case where first observation information is received, a target position to which the robot is to make a motion, using an action-value function and the first observation information. The processing circuitry receives measurement information obtained by measuring a state of the robot, calculates a difference corresponding to the first observation information, using the measurement information, and determines a motion plan of a force-controlled motion of the robot, based on the target position and the difference.

Abstract: According to one embodiment, an image processing device includes a hardware processor implemented by one or more processors. The hardware processor acquires a first image of a first object and a second image of a second object which is different from the first object, the images captured by an image capture processing device including an image capturing element and an optical system which images an object image on an image capturing surface of the image capturing element. The hardware processor measures a point spread function of the optical system based on the first image and the second image.

Abstract: According to one embodiment, an electronic device includes one or more processors. The one or more processors obtain an image captured by a camera with a filter having a first area transmitting light of a first wavelength range and a second area transmitting light of a second wavelength range. The image includes a first color-component image based on the light of the first wavelength range and a second color-component image based on the light of the second wavelength range. The one or more processors notify a user of an effective area for calculation of depth information based on a bias of color information in the first color-component image and the second color-component image.

Abstract: According to one embodiment, an optical filter associated with a lens unit having a first end includes a filter part, a filter frame, and an attachment part. The filter part includes a first filter area that transmits light rays of a first wavelength band and a second filter area that transmits light rays of a second wavelength band. The first wavelength band and the second wavelength band include a common wavelength band. The filter frame holds the filter part. The attachment part is coupled with the filter frame and is detachably attached to the first end of the lens unit. When the attachment part is attached to the first end of the lens unit, a distance between the filter part and an aperture within the lens unit is longer than a distance between the first end and the aperture.

Abstract: According to one embodiment, an image processing apparatus includes a memory and one or more processors. The one or more processors are electrically connected to the memory, and calculate blur correction information to make a blur of a first shape of an object approach a blur of a second shape of the object. The first shape of the object is contained in a first component image of one image. The second shape of the object is contained in a second component image of the one image. The one or more processors calculate a distance between an imaging device and the object based on an image distance when the one image is captured and the blur correction information. The image distance is a distance from a lens up to an image forming surface of the object.

Abstract: According to one embodiment, an image processing apparatus includes a memory and one or more hardware processors electrically coupled to the memory. The one or more hardware processors acquire a first image of an object including a first shaped blur and a second image of the object including a second shaped blur. The first image and the second image are acquired by capturing at a time through a single image-forming optical system. The one or more hardware processors acquire distance information to the object based on the first image and the second image, with a statistical model that has learnt previously.

Abstract: According to one embodiment, an image processing device includes a hardware processor implemented by one or more processors, The hardware processor is configured to acquire an image captured by a monocular camera. The hardware processor is configured to estimate a distance to an object based on the acquired image. The hardware processor is configured to calculate the distance to the object by considering an atmosphere failure influencing the acquired image and executing a statistical process on the estimated distance.

Abstract: An image capturing apparatus includes a sensor controller and a distance calculator. The sensor controller acquires a target image and a first reference image. The point spread function (PSF) of the target image is point-asymmetric, and the PSF of the first reference image being point-symmetric. The image sensor receives light having passed through a filter region that changes PSFs for sensor images of at least one kind into point-asymmetric forms, and then generates the target image for which a PSF has been changed into a point-asymmetric form by the filter region, and the first reference image that is not the target image. The distance calculator calculates the distance to an object captured in the target image and the first reference image, in accordance with the correlations each between an image obtained by convoluting a blur kernel to the target images and the first reference image.

Abstract: A photographing device includes a first image sensor, a first filter area, a second image sensor, a first distance calculating unit, and a second distance calculating unit. The first image sensor includes a first sensor receiving light of a first wavelength band and outputting a target image, and a second sensor receiving light of a second wavelength band and outputting a reference image. The first filter area transmits a first light of a third wavelength band, which includes at least part of the first wavelength band, the first light being a part of light incident on the first image sensor. The second image sensor outputs a first image. The first distance calculating unit calculates a first distance to an object captured in the target image and the reference image. The second distance calculating unit calculates a second distance to an object captured in the reference image and the first image.

Abstract: An image capturing apparatus includes a sensor controller and a distance calculator. The sensor controller acquires a target image and a first reference image. The point spread function (PSF) of the target image is point-asymmetric, and the PSF of the first reference image being point-symmetric. The image sensor receives light having passed through a filter region that changes PSFs for sensor images of at least one kind into point-asymmetric forms, and then generates the target image for which a PSF has been changed into a point-asymmetric form by the filter region, and the first reference image that is not the target image. The distance calculator calculates the distance to an object captured in the target image and the first reference image, in accordance with the correlations each between an image obtained by convoluting a blur kernel to the target images and the first reference image.

Abstract: According to an embodiment, a pose estimation apparatus includes first and second imagers and an estimator. The first imager generates first and second standard images respectively captured at first and second times. The second imager generates first and second reference images respectively associated with the first and second times. The estimator estimates, based on the first and second standard images and the first and second reference images, (a) a pose of the first imager at the first time, with a pose of the first imager at the second time being regarded as a standard and (b) a positional shift of the second imager capturing the first reference image from an estimated position of the second imager at the first time.

Abstract: According to one embodiment, an image processing device includes a storage and an image processor. The storage stores therein an input image. The image processor segments the input image into a plurality of regions by using a first convolutional neural network (CNN), generates a first image by converting pixel values of pixels in a first region included in the regions into a first value, and performs image processing on the first image by using a second CNN to generate a second image.

Abstract: According to one embodiment, an image processing apparatus includes a buffer and processing circuitry. The buffer stores first and second images capturing an object. The circuitry calculates at least one of a first distance to the object in the first image and a second distance to the object in the second image by using a correction parameter for correcting at least one of influences caused by ambient light, a reflection characteristic of the object, or a color of the object, calculates three-dimensional coordinates of the object on a relative scale by using the first and second images, and calculates three-dimensional coordinates of the object on a real scale based on at least one of the first and second distances, and the three-dimensional coordinates of the object on the relative scale.

Abstract: According to an embodiment, a lens device includes a filter, an entire area of which transmits light of a common color. The filter includes a first filter region and a second filter region. The first filter region transmits light that is a first combination of colors out of colors of light to be received by an image sensor. The second filter region transmits light that is a second combination of colors of the colors of the light to be received by the image sensor. The first and second combinations of colors each include the common color.

Abstract: According to one embodiment, an image processing apparatus includes a memory and one or more processors. The one or more processors are electrically connected to the memory, and calculate blur correction information to make a blur of a first shape of an object approach a blur of a second shape of the object. The first shape of the object is contained in a first component image of one image. The second shape of the object is contained in a second component image of the one image. The one or more processors calculate a distance between an imaging device and the object based on an image distance when the one image is captured and the blur correction information. The image distance is a distance from a lens up to an image forming surface of the object.

Abstract: According to one embodiment, an estimation system includes a monocular imaging unit and processing circuitry. The monocular imaging unit acquires, at a time of capturing, an image and first data relating to an actual distance to an object captured in the image. The processing circuitry estimates a position of the imaging unit by using the image and the first data.

Abstract: According to one embodiment, a processing device includes a storage and a hardware processor. The storage is configured to store a third image and a third color component image. The third image is obtained by applying a blur changing filter to a second color component image included in a second image. The blur changing filter changes a blur shape of a first color component image included in a first image. The third color component image is included in the second image. The hardware processor is configured to calculate an evaluation value, based on the third image and the third color component image.

Abstract: According to an embodiment, a lens device includes a filter, an entire area of which transmits light of a common color. The filter includes a first filter region and a second filter region. The first filter region transmits light that is a first combination of colors out of colors of light to be received by an image sensor. The second filter region transmits light that is a second combination of colors of the colors of the light to be received by the image sensor. The first and second combinations of colors each include the common color.

Abstract: According to one embodiment, a processing apparatus includes a memory and a processor. The processor is electrically coupled to the memory and is configured to calculate a size of an object based on a distance map. The distance map is acquired together with an image at one image capture by a single imaging optical system. Information indicative of a distance to the object included in the image is mapped in the distance map.