Abstract: White balance gain calculation processing and white balance adjustment are executed using polarization information acquired from a color polarized image. There are provided a polarization information acquisition unit configured to acquire polarization information from a color polarized image, a white balance gain calculation unit configured to calculate a white balance gain by using the acquired polarization information, and a white balance adjustment unit configured to execute white balance adjustment processing to which the calculated white balance gain is applied.

Abstract: An information processing device (100) includes a control unit (130). The control unit (130) sets the number of samples of a light ray used in a case where a rendered image is generated by utilization of ray tracing. The control unit (130) uses the number of samples and generates the rendered image used as training data of machine learning. The control unit (130) adjusts the number of samples according to accuracy of a machine learning model of a case where the rendered image is learned as the training data and the number of samples used in generation of the rendered image.

Abstract: A high-frequency image can be acquired at low computational cost at high speed. A polarization optical unit 20 separates incident light into first polarized light and second polarized light to perform optical low-pass filter processing on the first polarized light and combines the first polarized light subjected to the optical low-pass filter processing and the second polarized light not subjected to the optical low-pass filter processing to generate combined light. A polarization image acquisition unit 30 includes a first polarizing pixel that generates pixel information on the first polarization image and a second polarizing pixel that generates pixel information on the second polarization image on the basis of the combined light. An image processing unit 40 performs a difference computation between the first polarization image and the second polarization image acquired by the polarization image acquisition unit 30 to generates the high-frequency image.

Abstract: An information generation unit 30 acquires, from a polarization imaging unit 20, observation values in which polarization directions are at least three or more directions (m?3). A noise amount calculation unit 35-1 calculates an amount of noise on the basis of an observation value in a first polarization direction. Similarly, noise amount calculation units 35-2 to 35-m calculate amounts of noise on the basis of observation values in second to m-th polarization directions. A polarization model estimation unit 36 estimates a polarization model by using the observation values for the respective polarization directions and the amounts of noise calculated by the noise amount calculation units 35-1 to 35-m. Thus, it is possible to calculate a polarization model that is robust against noise.

Abstract: A polarization imaging unit 20 acquires a polarized image including polarization pixels with a plurality of polarization directions. An information compression unit 40 sets reference image information based on polarized image information of reference polarization pixels with at least a plurality of polarization directions in the polarized image and generates difference information between the polarized image information of each of polarization pixels different from the reference polarization pixels in the polarized image and the reference image information. In addition, the information compression unit 40 reduces the amount of information of the difference information generated for each of the polarization pixels with the plurality of polarization directions to generate compressed image information including the reference image information and the difference information with the reduced amount of information.

Abstract: A polarization imaging unit generates, as polarization information, a polarization image including pixels in a plurality of polarization directions. An interpolation processing unit of an information processor performs interpolation processing using the polarization image obtained from the polarization imaging unit, and generates a polarization image for each polarization method. A polarization degree calculation unit calculates, for example, a polarization degree for each pixel as object surface information on the basis of the polarization image for each polarization method. A noise amount calculation unit calculates a noise amount for each pixel on the basis of the polarization image for each polarization method and the like.

Abstract: An imaging device (1) according to the present disclosure includes an imaging unit (2), a signal separating unit (5), a normal line calculating unit (6), and a distance estimation unit (7). The imaging unit (2) includes a plurality of polarization lights (21 to 24) having different polarization directions of light emitted to a subject and a polarization sensor (11) and captures an image of the subject that is simultaneously irradiated with the light from the plurality of polarization lights (21 to 24). The signal separating unit (5) separates pixel signals corresponding to each of the polarization directions from the image captured by the imaging unit (2) and generates an image for every polarization direction. The normal line calculating unit (6) calculates a normal line on a surface of the subject from the image for each of the polarization directions by photometric stereo.

Abstract: A polarized image acquisition section 11a acquires a polarized image of a target object having one or more polarization directions. A polarization parameter acquisition section 12-1 calculates the average brightness ? of a polarization model on the basis of a non-polarized image subjected to sensitivity correction. Further, the polarization parameter acquisition section 12-1 calculates the amplitude ? of the polarization model on the basis of the calculated average brightness ?, pre-stored information regarding the zenith angle ? of the normal line of the target object, a refractive index r, and reflectance property information indicative of whether a subject is diffuse reflection or specular reflection.

Abstract: An unpolarized component image generating section generates unpolarized component image signals of specific and non-specific colors. A polarized component image generating section generates polarized component image signals of the specific and non-specific colors. A specific color polarization property detecting section detects polarization properties of the specific color using pixel signals of polarized or unpolarized pixels of the specific color having at least three polarization directions and pixel signals of polarized pixels having two polarization directions.

Abstract: An information processing device (200A, 200B, and 200C) according to the present disclosure includes a control unit (220, 220B, and 220C). The control unit (220, 220B, and 220C) acquires a captured image of a target imaged by a sensor. The captured image is an image obtained from reflected light of light emitted to the target from a plurality of light sources arranged at different positions, respectively. The control unit (220, 220B, and 220C) extracts a flat region from the captured image based on a luminance value of the captured image. The control unit (220, 220B, and 220C) calculates shape information regarding a shape of a surface of the target based on information regarding the sensor and the flat region of the captured image.

Abstract: An image processing apparatus according to the present discloser is an image processing apparatus having a cylindrical portion placed between a sensor configured to capture an image of a target and the target, the image processing apparatus including an acquisition section configured to acquire a first image obtained from reflected light of light irradiating the target from a point light source and a second image obtained from reflected light of light irradiating the target from a light source other than the point light source, and a calculation section configured to calculate shape information that is information regarding a surface shape of the target on the basis of a length of the cylindrical portion, the first image, and the second image.

Abstract: A polarization imaging section 20 includes polarized pixels in each of a plurality of polarization directions. The polarization imaging section 20 includes a polarizer. The polarization imaging section 20 outputs image signals of a polarized image to a defect detecting section 35 of an image processing section 30. In a case where a difference between a pixel value of a target polarized pixel generated by the polarization imaging section and a pixel value of the target polarized pixel estimated from polarization characteristics corresponding to pixel values of peripheral pixels in a polarization direction different from a polarization direction of the target polarized pixel is greater than a predetermined allowable range, the defect detecting section 35 determines that the target polarized pixel is a defective pixel. Therefore, it is possible to detect a defect of a pixel in the polarization imaging section that generates the polarized image.

Abstract: A polarization imaging section 20 includes polarized pixels in each of a plurality of polarization directions. The polarization imaging section 20 includes a polarizer. The polarization imaging section 20 outputs image signals of a polarized image to a defect detecting section 35 of an image processing section 30. In a case where a difference between a pixel value of a target polarized pixel generated by the polarization imaging section and a pixel value of the target polarized pixel estimated from polarization characteristics corresponding to pixel values of peripheral pixels in a polarization direction different from a polarization direction of the target polarized pixel is greater than a predetermined allowable range, the defect detecting section 35 determines that the target polarized pixel is a defective pixel. Therefore, it is possible to detect a defect of a pixel in the polarization imaging section that generates the polarized image.

Abstract: In an image capturing unit 20, an imaging element has a 4×4-pixel area in which: pixels including at least one pixel of every color component of a plurality of color components are polarization pixels of the same polarization direction; and pixels which are not the polarization pixels constitute a majority of the 4×4-pixel area, and are non-polarization pixels. The unpolarized component calculating unit 31 of the image processing unit 30 calculates unpolarized components for each pixel and for each color component by using pixel signals of polarization pixels, and pixel signals of non-polarization pixels that are generated at the image capturing unit 20. The diffuse reflection component calculating unit 32 calculates diffuse reflection components for each pixel and for each color component by using pixel signals of polarization pixels, and pixel signals of non-polarization pixels that are generated at the image capturing unit 20.

Abstract: A polarization imaging unit 20 acquires a polarized image including polarization pixels with a plurality of polarization directions. An information compression unit 40 sets reference image information based on polarized image information of reference polarization pixels with at least a plurality of polarization directions in the polarized image and generates difference information between the polarized image information of each of polarization pixels different from the reference polarization pixels in the polarized image and the reference image information. In addition, the information compression unit 40 reduces the amount of information of the difference information generated for each of the polarization pixels with the plurality of polarization directions to generate compressed image information including the reference image information and the difference information with the reduced amount of information.

Abstract: In an image capturing unit 20, an imaging element has a 4×4-pixel area in which: pixels including at least one pixel of every color component of a plurality of color components are polarization pixels of the same polarization direction; and pixels which are not the polarization pixels constitute a majority of the 4×4-pixel area, and are non-polarization pixels. The unpolarized component calculating unit 31 of the image processing unit 30 calculates unpolarized components for each pixel and for each color component by using pixel signals of polarization pixels, and pixel signals of non-polarization pixels that are generated at the image capturing unit 20. The diffuse reflection component calculating unit 32 calculates diffuse reflection components for each pixel and for each color component by using pixel signals of polarization pixels, and pixel signals of non-polarization pixels that are generated at the image capturing unit 20.

Abstract: A local match processing section 361 of a parallax detecting section 36 generates a cost volume indicating a cost indicating, for each pixel and each parallax, the similarity between images acquired by imaging sections 21 and 22 that are different in viewpoint positions. A cost volume processing section 363 performs cost adjustment processing on a cost volume on the basis of a polarization image acquired by the imaging section 21, by using normal line information generated for each pixel by a normal line information generating section 31. A minimum value search processing section 365 detects, from the cost volume having undergone the cost adjustment processing, a parallax at which the similarity becomes maximum, by using the parallax-based costs of a parallax detection target pixel. A depth calculating section 37 generates depth information indicating depths of respective pixels on the basis of parallaxes detected, for the respective pixels, by the parallax detecting section 36.

Abstract: An information generation unit 30 acquires, from a polarization imaging unit 20, observation values in which polarization directions are at least three or more directions (m?3). A noise amount calculation unit 35-1 calculates an amount of noise on the basis of an observation value in a first polarization direction. Similarly, noise amount calculation units 35-2 to 35-m calculate amounts of noise on the basis of observation values in second to m-th polarization directions. A polarization model estimation unit 36 estimates a polarization model by using the observation values for the respective polarization directions and the amounts of noise calculated by the noise amount calculation units 35-1 to 35-m. Thus, it is possible to calculate a polarization model that is robust against noise.

Abstract: A polarization imaging unit 20 generates, as polarization information, a polarization image including pixels in a plurality of polarization directions. An interpolation processing unit 31 of an information processor 30 performs interpolation processing using the polarization image obtained from the polarization imaging unit 20, and generates a polarization image for each polarization method. A polarization degree calculation unit 32 calculates, for example, a polarization degree for each pixel as object surface information on the basis of the polarization image for each polarization method. A noise amount calculation unit 33 calculates a noise amount for each pixel on the basis of the polarization image for each polarization method and the like.

Abstract: A polarized image acquisition section 11a acquires a polarized image of a target object having one or more polarization directions. A polarization parameter acquisition section 12-1 calculates the average brightness ? of a polarization model on the basis of a non-polarized image subjected to sensitivity correction. Further, the polarization parameter acquisition section 12-1 calculates the amplitude ? of the polarization model on the basis of the calculated average brightness ?, pre-stored information regarding the zenith angle ? of the normal line of the target object, a refractive index r, and reflectance property information indicative of whether a subject is diffuse reflection or specular reflection.