A camera calibration method and a calibration device are provided. A predicted Z-axis coordinate is predicted by obtaining a functional relationship between a distance of a plurality of pixel regions and a Z-axis coordinate and a distance of a plurality of real-time pixel regions of an initial picture which is obtained at an initial position by the camera to be calibrated. One of a lens and a photosensitive chip is controlled to move relative the other of the lens and the photosensitive chip from the initial position to the predicted Z-axis coordinate.

A camera calibration method and a calibration device are provided. A predicted Z-axis coordinate is predicted by obtaining a functional relationship between a distance of a plurality of pixel regions and a Z-axis coordinate and a distance of a plurality of real-time pixel regions of an initial picture which is obtained at an initial position by the camera to be calibrated. One of a lens and a photosensitive chip is controlled to move relative the other of the lens and the photosensitive chip from the initial position to the predicted Z-axis coordinate.

The present technology relates to a solid-state imaging device that can improve the sensitivity of imaging pixels while maintaining AF properties of a focus detecting pixel. The present technology also relates to a method of manufacturing the solid-state imaging device, and an electronic apparatus.

The solid-state imaging device includes: a pixel array unit including pixels; first microlenses formed in the respective pixels; a film formed to cover the first microlenses of the respective pixels; and a second microlens formed on the film of the focus detecting pixel among the pixels. The present technology can be applied to CMOS image sensors, for example.

A control apparatus includes a signal readout unit 15 which reads out a frame image obtained from an image pickup device while the frame image is divided into a plurality of different regions, an image information calculating unit 16 which calculates image information based on an image signal of each of the plurality of different regions obtained from the signal readout unit, and an adjusting unit 17 which determines a target adjustment value of an image pickup unit including an image pickup optical system and the image pickup device based on the image information during capturing the frame image.

A color filter array for an image sensing device includes a plurality of pixels, for generating a plurality of pixel data of an image; and a control unit, for controlling the plurality of pixels; wherein each of the plurality of pixels is divided into a plurality of sub-pixels; wherein the pixel data outputted by each of the plurality of pixels is generated based on at least one pixel value of the plurality of sub-pixels and the outputted pixel data is smaller than a saturated threshold; wherein at least one pixel in the plurality of pixels has a mixed color by having different sub-pixel colors in the plurality of sub-pixels.

A device for extracting depth information according to one embodiment of the present invention comprises: a light outputting unit for outputting IR (InfraRed) light; a light inputting unit for inputting light reflected from an object after outputting from the light outputting unit; a light adjusting unit for adjusting the angle of the light so as to radiate the light into a first area including the object, and then for adjusting the angle of the light so as to radiate the light into a second area; and a controlling unit for estimating the motion of the object by using at least one of the lights between the light inputted to the first area and the light inputted to the second area.

An image sensor includes two or more phase-difference detection pixels disposed adjacent to each other, a plurality of general pixels spaced apart from the phase-difference detection pixels, first and second peripheral pixels, and first to third light shields. The first and second peripheral pixels are adjacent to the phase-difference detection pixels, and between the phase-difference detection pixels and the general pixels. The first light shield is disposed in one of the general pixels and has a first width. The second light shield extends into the first peripheral pixel from a first area between the phase-difference detection pixels and the first peripheral pixel, and has a second width different from the first width. The third light shield extends into the second peripheral pixel from a second area between the phase-difference detection pixels and the second peripheral pixel, and has a third width different from the first width.

A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking so as to detect and predict movement of a vehicle occupant.

The present technology relates to an image sensor and an electronic device capable of performing imaging in which mixed color is reduced. Photoelectric conversion layers including photoelectric conversion units separated in units of pixels are stacked in two or more layers, the image sensor is configured to include a state in which light incident on one pixel in a first photoelectric conversion layer closer to an optical lens is received by the photoelectric conversion unit in a second photoelectric conversion layer distant from the optical lens, the image sensor includes a light-shielding layer configured to shield light transmitted through the first photoelectric conversion layer, between the first photoelectric conversion layer and the second photoelectric conversion layer, the light-shielding layer has an opening to transmit the light from the first photoelectric conversion layer to the second photoelectric conversion layer, and the openings are made to be asymmetric with respect to the pixel in the first photoelectric conversion layer. The present technology can be applied to an image sensor with a multi-layered structure.

A method of image processing includes capturing two frames of image data using a camera having a phase detection auto focus (PDAF) sensor, subtracting phase difference pixel data associated with the two frames of image data to produce residual phase difference values, detecting a region-of-interest change based on the residual phase differences values, and determining a focus for the PDAF camera sensor based on the detected region-of-interest change. The method may further include compressing the residual phase difference values, sending the compressed residual phase difference values to a processor, and reconstructing, with the processor, the phase difference pixel data from the compressed residual phase difference values.