Provided is an image processing apparatus that includes a long-time exposure distance image generation unit that captures an image with long-time exposure, calculates a parallax from a first long-time exposure image and a second long-time exposure image from a first long-time exposure camera and a second long-time exposure camera disposed at a predetermined interval, and generates a long-time exposure distance image. The image processing apparatus further includes a short-time exposure distance image generation unit that captures an image with short-time exposure, calculates a parallax from a first short-time exposure image and a second short-time exposure image from a first short-time exposure camera and a second short-time exposure camera disposed at a predetermined interval, and generates a short-time exposure distance image, and a distance image generation unit that combines the long-time exposure distance image with the short-time exposure distance image to generate a distance image.

An image data processing device and an image data processing system are provided. An image data processing device performs a process of inputting a plurality of image data items in which imaging ranges at least partially overlap, detecting a face of a person in an image indicated by the image data, and recognizing a personal attribute of the person on the basis of the detected face for each of the image data items, a process of generating map data, in which the recognized personal attribute has been recorded in association with a position of the person in the image indicated by the image data, for each of the image data items, a process of interpolating the personal attribute of the person who overlaps between a plurality of the map data items, and a process of combining the plurality of map data items after the interpolation to generate composite map data.

A method includes obtaining, using at least one image sensor of an electronic device, a first image frame and multiple second image frames of a scene. Each of the second image frames has an exposure time different from an exposure time of the first image frame. The method also includes encoding, using at least one processor, each of the first image frame and the second image frames using a convolutional neural network to generate a corresponding feature map. The method further includes aligning, using the at least one processor, encoded features of the feature map corresponding to the first image frame with encoded features of the feature maps corresponding to the second image frames.

A localization and tracking method, a localization and tracking platform, a head-mounted display system, and a computer-readable storage medium are provided. One or more images of odd frames and one or more images of even frames that are respectively collected with a preset first exposure duration and a preset second exposure duration by one or more tracking cameras arranged on a head-mounted display device are acquired, the one or more images of even frames at least containing blobs corresponding to multiple luminous bodies arranged on a gamepad; Degree of Freedom (DoF) information of the head-mounted display device is determined according to the one or more images of odd frames and attitude information of the head-mounted display device; and DoF information of the gamepad is determined according to the one or more images of even frames, attitude information of the gamepad, and the DoF information of the head-mounted display device.

Systems and methods are provided for recognizing various sample containers carried in a rack. The systems and methods are performed to identify sample containers in the rack and detect various characteristics associated with the containers and/or the rack, which are evaluated to determine the validity and/or types of the containers in the rack.

An image processing device (1) includes an exposure control unit (102), a Δ pose estimating unit (109), and an integration unit (111). The exposure control unit (102) controls exposure by sequentially performing positive correction of increasing exposure from proper exposure or negative correction of decreasing exposure from the proper exposure as the exposure at a time of acquiring each of a plurality of image frames in time series in a predetermined execution order. The Δ pose estimating unit (109) estimates first position pose of the image processing device based on matching between image frames subjected to the positive correction and second position pose of the image processing device based on matching between image frames subjected to the negative correction. The integration unit (111) integrates the first position pose and the second position pose.

There is provided an image processing device capable of easily reducing a burden related to image recognition and obtaining stable recognition performance even when a posture of a vehicle changes from moment to moment. An image processing device 50 includes a storage unit 5 and an image processing unit 6. The storage unit 5 stores a pickup image acquired by an image pickup unit 4 mounted on the vehicle and an inclination angle transmitted from an inclination angle sensor 2 that detects the inclination angle of the vehicle. The image processing unit 6 performs image processing on the pickup image. The image processing unit 6 associates the pickup image in an inclined state with the inclination angle based on a time difference Δt between a time from when the pickup image in the inclined state is acquired by the image pickup unit 4 until the acquired pickup image is stored in the storage unit 5, and a time from when the inclination angle is detected by the inclination angle sensor 2 until the detected inclination angle is stored in the storage unit 5. The image processing unit 6 generates a recognition image in a non-inclined state, which is used for image recognition of the pickup image, from the pickup image in the inclined state based on the inclination angle associated with the pickup image.

An imaging apparatus, an imaging control method, and an imaging control program are provided. A digital camera includes an imaging element including a first light-receiving region in which a pixel group including focal point detection pixels is arranged and a second light-receiving region in which a pixel group not including the focal point detection pixels is arranged, and a system control unit, in which the system control unit performs a recording imaging control of causing the imaging element to perform imaging in a first exposure time period and a display imaging control of causing the imaging element to perform imaging by setting an exposure time period of the second light-receiving region as the first exposure time period and setting an exposure time period of the first light-receiving region as a second exposure time period.

An image processing apparatus obtains image data of a plurality of frames, aligns the image data of the plurality of frames, and combine the image data of the plurality of frames that have been aligned. The image data includes first data and second data, the first data being data of pixels of an effective pixel area of an image sensor and constituted by signals corresponding to a predetermined arrangement of color components, and the second data being data of pixels outside the effective pixel area of the image sensor. The image processing apparatus is capable of aligning the first data independently from the second data.

The present invention provides a method and system for processing an image. The method comprises: acquiring high-frame data and low-frame data of a target object, and acquiring initial exposure time to complete the high-frame data and the low-frame data; calculating a proportion of overexposed pixel points and a proportion of underexposed pixel points in the low-frame data; adjusting the initial exposure time according to a magnitude of the proportion of the overexposed pixel points and a magnitude of the proportion of the underexposed pixel points to obtain target exposure time; and acquiring target high-frame data and target low-frame data according to the target exposure time, and replacing overexposed pixel points in the target high-frame data with pixel points of the target low-frame data. The initial exposure time is adjusted according to the proportion of the overexposed pixel points to obtain the target exposure time, the target high-frame data and the target low-frame data are acquired according to the target exposure time, and the overexposed pixel points in the target high-frame data are replaced with the pixel points of the target low-frame data, thus the quality of a picture is improved.