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 determination environment information acquisition unit 31 acquires incident polarized light information of a light source in a material determination environment. A determination target information acquisition unit 32 acquires emitted polarized light information from a polarized image obtained by capturing an image of a material determination target in the material determination environment.

Abstract: A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.

Abstract: A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.

Abstract: A depth map generation unit generates a depth map from images obtained by picking up a subject at a plurality of viewpoint positions by an image pickup unit. On the basis of the depth map generated by the depth map generation unit, an alignment unit aligns polarized images obtained by the image pickup unit picking up the subject at the plurality of viewpoint positions through polarizing filters in different polarization direction at the different viewpoint positions. A polarization characteristic acquisition unit acquires a polarization characteristic of the subject from a desired viewpoint position by using the polarized images aligned by the alignment unit to obtain the high-precision polarization characteristic with little degradation in temporal resolution and spatial resolution. It becomes possible to acquire the polarization characteristic of the subject at the desired viewpoint position.

Abstract: A normal candidate information generation unit 31 of an information processor 30 generates normal candidate information for each pixel indicating, for example, a zenith angle, or an azimuth angle, or a zenith angle and an azimuth angle, on the basis of a polarization image in a plurality of polarization directions obtained by a polarization imaging unit 20. The in-plane pixel selection unit 32 selects a plurality of pixels indicating the plane to be observed in the polarization image. A normal calculation unit 33 calculates a normal of the plane to be observed on the basis of the normal candidate information of the pixels selected by the in-plane pixel selection unit 32.

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 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 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.

Abstract: An information processing apparatus according to an embodiment of the present technology includes a detection unit, an estimation unit, and a prediction unit. The detection unit detects a target object from an input image. The estimation unit estimates a posture of the detected target object. The prediction unit predicts an action of the target object on a basis of the estimated posture.

Abstract: A polarization imaging unit 20 acquires a polarization image using a lens. In a parameter storage unit 32 of an information processing unit 30, parameters related to a change in polarization state due to the lens which are estimated in advance from polarization state information acquired by imaging a light source in a predetermined polarization state using the lens and polarization state information indicating the polarization state of the light source, for example, change parameters indicating the change in polarization state due to the lens or correction parameters for correcting the change in polarization state due to the lens are stored. A polarization state correction unit 33 of the information processing unit 30 corrects the change in polarization state due to the lens, using the parameters stored in advance in the parameter storage unit 32.

Abstract: An information processing apparatus according to an embodiment of the present technology includes a detection unit, an estimation unit, and a prediction unit. The detection unit detects a target object from an input image. The estimation unit estimates a posture of the detected target object. The prediction unit predicts an action of the target object on a basis of the estimated posture.

Abstract: A correction information generation section 50 emits measurement light having uniform intensity onto a polarized image acquisition section 20 acquiring a polarized image. Further, on the basis of a measured polarized image acquired from the polarized image acquisition section 20, the correction information generation section 50 generates variation correction information for correcting sensitivity variations caused in the measured polarized image due to difference in polarization direction, and causes a correction information storage section 30 to store the generated variation correction information. A correction processing section 40 then corrects the sensitivity variations caused in the polarized image acquired by the polarized image acquisition section 20 due to the difference in polarization direction by using the pre-generated variation correction information stored in the correction information storage section 30.

Abstract: A correction information generation section 50 emits measurement light having uniform intensity onto a polarized image acquisition section 20 acquiring a polarized image. Further, on the basis of a measured polarized image acquired from the polarized image acquisition section 20, the correction information generation section 50 generates variation correction information for correcting sensitivity variations caused in the measured polarized image due to difference in polarization direction, and causes a correction information storage section 30 to store the generated variation correction information. A correction processing section 40 then corrects the sensitivity variations caused in the polarized image acquired by the polarized image acquisition section 20 due to the difference in polarization direction by using the pre-generated variation correction information stored in the correction information storage section 30.

Abstract: A polarized image acquisition unit 20 acquires polarized images in a plurality of polarization directions. A reflection information generation unit 30 generates reflection information indicating reflection components from the polarized images in the plurality of polarization directions acquired by the polarized image acquisition unit 20. A reflection information using unit 40 uses the reflection information generated by the reflection information generation unit 30 to acquire an image of a viewed object appearing in the polarized images. A depth estimation unit estimates a depth value of a reflective surface area and acquires a position of the viewed object on the basis of an image of the viewed object appearing in the reflective surface area and the estimated depth value. Therefore, the viewed object positioned in, for example, an area of a blind spot can be easily checked.

Abstract: A third imaging unit including a pixel not having a polarization characteristic is interposed between a first imaging unit and a second imaging unit including a pixel having a polarization characteristic for each of a plurality of polarization directions. A depth map is generated from a viewpoint of the first imaging unit by matching processing using a first image generated by the first imaging unit and a second image generated by the second imaging unit. A normal map is generated on the basis of a polarization state of the first image. Integration processing of the depth map and the normal map is performed and a depth map with a high accuracy is generated. The depth map generated by the map integrating unit is converted into a map from a viewpoint of the third imaging unit, and an image free from deterioration can be generated.

Abstract: An unpolarized component image generating section 32-1 generates unpolarized component image signals of specific and non-specific colors. A polarized component image generating section 33-1 generates polarized component image signals of the specific and non-specific colors. A specific color polarization property detecting section 34-1 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 image processing device and a method that enable removal of reflection component light from images captured from various directions are provided.

Abstract: A control apparatus includes an input unit and a control unit. To the input unit, a pickup image of a camera provided to an own vehicle is input. The control unit detects a mirror provided to a different vehicle that exists in front of the own vehicle from the input pickup image, detects a person from a mirror image of the detected mirror, and recognizes a state of the person from an image of the detected person. Further, the control unit performs an alerting process or a control process for the own vehicle to prevent an accident of the own vehicle or the different vehicle in accordance with the recognized state of the person.