Provided are an image acquisition device and a method for adjusting a focus position using the same, which can acquire an accurate focus position without a decrease in light amount incident in an image photographing sensor. The image acquisition device according to an exemplary embodiment of the present invention includes: a first sensor collecting some of the beams projected from a sample to generate a first image; and a second sensor collecting at least some of the remaining beams of the beams projected from the sample to generate a second image for measuring a focus position, in which a focus of the first sensor is adjusted by the focus position measured by using the second sensor.

Methods and apparatus for capturing, communicating and using image data to support virtual reality experiences are described. Images, e.g., frames, are captured at a high resolution but lower frame rate than is used for playback. Interpolation is applied to captured frames to generate interpolated frames. Captured frames, along with interpolated frame information, are communicated to the playback device. The combination of captured and interpolated frames correspond to a second frame playback rate which is higher than the image capture rate. Cameras operate at a high image resolution but slower frame rate than images could be captured with the same cameras at a lower resolution. Interpolation is performed prior to delivery to the user device with segments to be interpolated being selected based on motion and/or lens FOV information. A relatively small amount of interpolated frame data is communicated compared to captured frame data for efficient bandwidth use.

Disclosed are an image synthesis method and a related apparatus, the method includes: determining a target area on a preview image by means of eyeball tracking technology; on the basis of brightness parameters of the target area, determining multiple exposure parameter sets; setting a camera module with the multiple exposure parameter sets to acquire multiple reference images, each reference image corresponding to a different exposure parameter set; and synthesizing the multiple reference images to obtain a target image.

An image processing method includes an electronic device that outputs a first frame rate when the electronic device detects that ambient light brightness in a current environment is less than or equal to a first preset light brightness threshold; collects first video data based on the first frame rate, where the first video data includes a plurality of frames of images; and performs frame interpolation on the frames of images to obtain and store second video data, where a frame rate of the second video data is greater than the first frame rate.

An image capturing method, applicable to an electronic device including an image capturing device and a processor, is provided. The image capturing device has a field of view (FOV). The image capturing method includes: capturing a plurality of images of the FOV by using the image capturing device, and recording a plurality of images within a capture frame in the FOV from the images, where a capturing range of the capture frame is smaller than or equal to the FOV; moving the capture frame to a perspective-moving target within the FOV in response to a setting operation on the perspective-moving target; and generating a moving-perspective video from the recorded images.

The present application discloses an imaging system for detecting human-object interaction and a method for detecting human-object interaction thereof. The imaging system includes an event sensor, an image sensor, and a controller. The event sensor is configured obtain an event data set of the targeted scene according to variations of light intensity sensed by pixels of the event sensor when an event occurs in the targeted scene. The image sensor is configured capture a visual image of the targeted scene. The controller is configured to detect human according to the event data set, trigger the image sensor to capture the visual image when the human is detected, and detect the human-object interaction in the targeted scene according to the visual image and a series of event data sets obtained by the event sensor during the event.

The present application discloses an imaging system for detecting human-object interaction and a method for detecting human-object interaction thereof. The imaging system includes an event sensor, an image sensor, and a controller. The event sensor is configured obtain an event data set of the targeted scene according to variations of light intensity sensed by pixels of the event sensor when an event occurs in the targeted scene. The image sensor is configured capture a visual image of the targeted scene. The controller is configured to detect human according to the event data set, trigger the image sensor to capture the visual image when the human is detected, and detect the human-object interaction in the targeted scene according to the visual image and a series of event data sets obtained by the event sensor during the event.

Systems and methods for encoding regions containing an element of interest in a sequence of images with a high resolution are provided. Such systems and methods can include a camera that can capture the sequence of images of a monitored region, a detection processor that can identify a first region that contains an element of interest within the sequence of images, and an encoder that can encode the first region within a first subset of the sequence of images with a first resolution and encode a second region within the first subset of the sequence of images outside of the first region with a second resolution that is less than the first resolution, wherein a number of the sequence of images in the first subset of the sequence of images is less than all of the sequence of images and is based on a predefined parameter.

Methods and devices for generating a slow motion video segment are described. A first set of video frames captures a video view at a first resolution and at a first frame rate. A second set of video frames captures the video view at a second lower resolution, and at a second frame rate that is greater for at least a portion of the second set. At least two high resolution frames are identified in the first set for generating the slow motion video segment. One or more low resolution frames are identified in the second set corresponding to an inter-frame time period between the identified high resolution frames. The slow motion video segment is generated by generating at least one high resolution frame corresponding to the inter-frame time period using interpolation based on the identified high resolution frames and the identified low resolution frames.

Fluorescence imaging with reduced fixed pattern noise is disclosed. A method includes actuating an emitter to emit a plurality of pulses of electromagnetic radiation and sensing reflected electromagnetic radiation resulting from the plurality of pulses of electromagnetic radiation with a pixel array of an image sensor to generate a plurality of exposure frames. The method includes applying edge enhancement to edges within an exposure frame of the plurality of exposure frames. The method is such that at least a portion of the plurality of pulses of electromagnetic radiation emitted by the emitter comprises one or more of electromagnetic radiation having a wavelength from about 770 nm to about 790 nm.