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: Methods and apparatus for image processing are provided. The method comprises receiving input of a visible-ray image and a far-infrared-ray image obtained by photographing a same subject, estimating a blur estimation result in the visible-ray image, wherein estimating a blur estimation result comprises calculating a correlation between the visible-ray image and each of a plurality of filter-applied far-infrared ray images in which a different filter is applied to the far-infrared-ray image and selecting the filter for which the calculated correlation is highest, and performing a correction process on the visible-ray image based, at least in part, on the blur estimation result to generate a corrected visible-ray image from which the blur is reduced, wherein generating the corrected visible-ray image comprises applying, to the visible ray image, an inverse filter having an inverse characteristic to a characteristic of the selected filter.

Abstract: An imaging apparatus includes: an imaging unit that has a pixel region in which a plurality of pixels is arranged and reads and outputs a pixel signal from the pixels included in the pixel region; a unit-of-readout controller that controls a unit of readout set as a part of the pixel region; a first unit-of-readout setting unit that sets a first unit of readout that is used for reading out the pixel signal from the pixel region for a recognition process that has learned training data for each of the units of readout; a second unit-of-readout setting unit that sets a second unit of readout that is used for reading out the pixel signal from the pixel region so as to output the pixel signal to a subsequent stage; and a mediation unit that performs mediation between the first unit of readout and the second unit of readout.

Abstract: An imaging apparatus includes: an imaging unit that has a pixel region in which a plurality of pixels is arranged and that reads and outputs a pixel signal from the pixels included in the pixel region; a unit-of-readout controller that controls a unit of readout set as a part of the pixel region: a recognition unit that has learned training data for each of units of readout; a first output unit that outputs a recognition result of recognition performed by the recognition unit for each of the units of readout; a second output unit that outputs the pixel signal to a subsequent stage; and a trigger generator that generates a trigger signal for controlling a first timing at which the first output unit outputs the recognition result and a second timing at which the second output unit outputs the pixel signal.

Abstract: An imaging apparatus according to an embodiment includes: an imaging unit (10) having a pixel region in which a plurality of pixels is arranged; a readout controller (11) that controls readout of pixel signals from pixels included in the pixel region; a unit-of-readout controller (123) that controls a unit of readout that is set as a part of the pixel region and for which the readout controller performs the readout; and a recognition unit (14) that has learned training data for each of the units of readout. The recognition unit performs a recognition process on the pixel signal for each of the units of readout, and outputs a recognition result which is a result of the recognition process.

Abstract: An imaging apparatus according to an embodiment includes: an imaging unit having a pixel region in which a plurality of pixels is arranged; a readout controller that controls readout of pixel signals from pixels included in the pixel region; a first unit-of-readout setting unit that sets a unit of readout as a part of the pixel region, for which the readout controller performs readout of the pixel signal; an image output unit that outputs a first image based on the pixel signal read out from the unit of readout to a subsequent stage; a second unit-of-readout controller that controls the unit of readout in which the readout controller performs readout of the pixel signal; and a recognition unit that learns training data for each of the units of readout, performs a recognition process on the pixel signal for each of the units of readout, and outputs a recognition result.

Abstract: An information processing device (10) includes: an acquisition unit (181) that acquires an image captured by an imaging unit (13); a recognition unit (182) that recognizes attributes of an object shown in the image captured by the imaging unit (13); and a generation unit (183) that generates a bird's-eye view map showing the attributes of the object on the basis of the image captured by the imaging unit (13) and information on the attributes of the object recognized by the recognition unit.

Abstract: The present invention suppresses an increase in processing time and power consumption that is associated with function implementation. An electronic device according to an embodiment comprises: an imaging unit (11) that generates image data; a processing unit (14) that executes neural network calculation model-based processing with respect to image data-based data that is read out from the imaging unit; a function execution unit (12) that performs a predetermined function on the basis of the results of the processing; and a detection unit (32) that detects displacement, wherein the processing unit executes the processing when the detection unit detects displacement.

Abstract: A recognition processing section performs subject recognition in a processing area of an image obtained by an imaging section. The recognition processing section determines an image characteristic of the processing area on the basis of a characteristic map indicating an image characteristic of the image obtained by the imaging section and uses a recognizer corresponding to the image characteristic of the processing area. The characteristic map includes a map based on an optical characteristic of an imaging lens used in the imaging section and is stored in a characteristic information storage section. An imaging lens has a winder angle of view in all directions or in a predetermined direction than a standard lens, and the optical characteristic thereof differs depending on a position on the lens. The recognition processing section performs the subject recognition using a recognizer corresponding to resolution or skewness of the processing area, for example.

Abstract: Where a highly accurate image analysis is required, for example, only RAW images selected according to specified conditions are selected and transmitted to a server. There are provided an imaging unit that is mounted on a movable device, an image signal processor that generates a color image by signal processing of the RAW image which is an output of an imaging element of the imaging unit, an image analysis unit that executes analysis processing of the color image, a transmission necessity determination unit that determines transmission necessity of the RAW image to the server, and a transmission unit that transmits the RAW image to the external server according to a determination result. The transmission necessity determination unit decides the transmission necessity of the RAW image on the basis of a transmission timing control at constant intervals, imaging and signal processing parameters, an image analysis result, device information, or the like.

Abstract: A motion detecting section detects a change in relative position relation between a subject and an image capturing section performing a rolling shutter operation. A thinning-out setting section sets a thinning-out amount of a line thinning-out operation of the image capturing section according to the detection result obtained by the motion detecting section. A recognition processing section performs subject recognition in an image obtained by the image capturing section, by using a recognizer corresponding to the thinning-out amount set by the thinning-out setting section. The change in relative position relation is detected based on motion of a moving body on which the image capturing section is mounted, an image capturing scene, an image obtained by the image capturing section, and the like. Line thinning-out is performed during the rolling shutter operation, and the thinning-out amount is set according to the detection result obtained by the motion detecting section.

Abstract: An image processing apparatus includes a conversion unit that applies grayscale conversion to a thermal image by using a conversion function based on data about a target object.

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: The method for producing an optical member of the present invention includes: Process (1) of applying a first resin to a substrate; Process (2) of applying a second resin to at least one of the first resin and a die; Process (3) of pushing the substrate to the die with the first resin and the second resin in between to form a resin layer including on a surface thereof an uneven structure; and Process (4) of curing the resin layer to provide a polymer layer. The die includes a surface after release treatment with a fluorine release agent. The first resin contains a resin component, and the resin component contains predetermined amounts of a (meth)acrylamide compound and a urethane prepolymer containing six or more functional groups. The second resin contains predetermined amounts of a reactive group-containing monomer, a fluorosurfactant, and a fluorine-containing monomer.

Abstract: There is provided a sensor device that can easily reduce an accumulated error in a sensor, the sensor device including: a first inertial sensor; a first information code formed to be capable of being imaged from an outside; and a first imaging unit capable of imaging a second information code formed on another sensor device.

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: Information acquisition units 11-1 and 11-2 (11-2a) acquire peripheral object information, and information processing units 12-1 and 12-2 (12-2a) generate point cloud data relating to a feature point of a peripheral object on the basis of the peripheral object information. A weight setting unit 13 sets a weight according to a situation between the peripheral object and the information acquisition units when the peripheral object information was acquired. A calibration processing unit 15 uses the point cloud data, the weight, and external parameters stored in a parameter storage unit 14 to calculate new external parameters that minimize an error of the external parameters, on the basis of a cost indicating the error. A parameter update unit 16 updates the external parameters stored in the parameter storage unit 14 using the calculated new external parameters. Since highly accurate external parameters are stored in the parameter storage unit 14, the calibration can be performed stably.

Abstract: Provided are an image processing apparatus and an image processing method that process a far-infrared image. The image processing apparatus includes a region extraction section, a modal transformation section, and a superimposition section. The region extraction section extracts a region of interest within a visible-light image captured by a visible-light camera. The modal transformation section receives an image of the region of interest within an infrared image captured by an infrared camera observing the same subject as the visible-light camera, and transforms the received image to a modal image. The superimposition section generates a presentation image by superimposing the modal image on the region of interest within the visible-light image. The modal transformation section transforms a far-infrared image of the region of interest to a modal image including an information modal familiar to humans by using, for example, a database and a conditional probability distribution.

Abstract: An information processing apparatus according to an embodiment of the present technology includes a control unit. The control unit detects, on a basis of an optical image of a cell in culture captured at a first imaging interval, whether there is a change in a state of the cell, and switches, when detecting the change in the state, an imaging mode from the first imaging interval to a second imaging interval shorter than the first imaging interval.

Abstract: A recognition control unit 40 detects a light amount of an imaging area on the basis of an image signal from a camera unit 20, a control signal from a camera control unit 30, and the like, and generates selection determination information on the basis of a detection result of the light amount. A recognition processing unit 50 performs area division on an image of an imaging area generated by the camera unit 20 on the basis of the selection determination information generated by the recognition control unit 40, and selects a recognizer for each area. Moreover, the recognition processing unit 50 performs a subject recognition process on an image of the corresponding area by using the selected recognizer. Even when a captured image includes a bright area and a dark area, a subject in each area can be easily and accurately recognized.