Placement of a face depicted within a video may be determined. One or more stabilization options for the video may be obtained. Stabilization option(s) may include angle stabilization option, a position stabilization option, and/or a size stabilization option. The video may be stabilized based on the placement of the face and the stabilization option(s).

A method for stabilizing an image based on artificial intelligence includes acquiring tremor detection data with respect to the image, the tremor detection data acquired from two or more sensors; outputting stabilization data for compensating for an image shaking, the stabilization data outputted using an artificial neural network (ANN) model trained to output the stabilization data based on the tremor detection data; and compensating for the image shaking using the stabilization data. A camera module includes a lens; an image sensor to output an image captured through the lens; two or more sensors to output tremor detection data with respect to the image; a controller to output stabilization data based on the tremor detection data using an ANN model; and a stabilization unit to compensate for an image shaking using the stabilization data. The ANN model is trained to output the stabilization data based on the tremor detection data.

A method for determining the likelihood that a pixel in a video image sequence represents true motion in the image. Light from a scene is captured to yield an original image having a sequence of frames. A prototype image is created from the original image as a geometrically accurate representation of the scene which is substantially free of contamination. A tilt variance-Gaussian mixture model and/or multi-variate Gaussian model, based upon optical turbulence statistics associated with the scene, is developed. Each pixel in the original image sequence of frames is evaluated against the prototype image using a probability density function, to yield a likelihood that the respective pixel represents true motion.

An image capturing apparatus that is capable of accurately acquiring motion vectors according to a photographing environment and performing blur correction with high accuracy. The image capturing apparatus includes an image sensor, and a photometry unit that performs photometry of a photographing environment. A motion vector calculation section calculates motion vectors based on images acquired by the image sensor. A camera system controller calculates a reliability of the motion vectors. A photographing condition determination section determines photographing conditions for consecutively photographing a plurality of images by the image sensor, according to a photometry result and the calculated reliability.

Apparatus and methods for the pre-processing of image data so as to enhance quality of subsequent encoding and rendering. In one embodiment, a capture device is disclosed that includes a processing apparatus and a non-transitory computer readable apparatus comprising a storage medium have one or more instructions stored thereon. The one or more instructions, when executed by the processing apparatus, are configured to: receive captured image data (such as that sourced from two or more separate image sensors) and pre-process the data to enable stabilization of the corresponding images prior to encoding. In some implementations, the pre-processing includes combination (e.g., stitching) of the captured image data associated with the two or more sensors to facilitates the stabilization. Advantageously, undesirable artifacts such as object “jitter” can be reduced or eliminated. Methods and non-transitory computer readable apparatus are also disclosed.

An image processing method and a device configured to implement the same are disclosed. The device comprises: a hybrid imaging device configured to obtain optical input; and a processing device in signal communication with the hybrid imaging device. The processing device comprises: a motion detection circuit that performs feature tracking based on a first component of an obtained optical input; a motion estimation circuit that performs motion compensation based on output of the motion detection unit; a frame reconstruction circuit that reconstructs image frame based on both the output of the motion estimation unit and a second component of the optical input; and an output unit that outputs image frame at a predetermined global frame rate.

A distance measurement device includes an emission unit, a detection unit, a first reduction unit that reduces, based on a detection result of the detection unit, influence of variation of an optical axis of the image formation optical system on a subject image received as light by a light receiving section, a second reduction unit that reduces variation of an optical axis of the directional light with respect to the subject based on the detection result of the detection unit, and a control unit that, in the case of operating the first reduction unit and the second reduction unit at the same time, controls the first reduction unit and the second reduction unit to reduce variation of an irradiation position of the directional light in the subject image received as light by the light receiving section.

A distance measurement device includes a detection unit, an optical path forming unit, a first reduction unit, based on a detection result of the detection unit, influence of variation of the optical axis of the image formation optical system, a second reduction unit that is disposed in a different part from a common optical path and reduces variation of the optical axis of the directional light with respect to the subject based on the detection result of the detection unit, and a control unit that, in the case of operating the first reduction unit and the second reduction unit at the same time, controls the first reduction unit and the second reduction unit to reduce variation of an irradiation position of the directional light in the subject image received as light by the light receiving section.

A distance measurement device includes an emission unit, a detection unit, a first reduction unit that reduces, based on a detection result of the detection unit, influence of variation of an optical axis of the image formation optical system on the subject image received as light by the light receiving section, a second reduction unit that reduces variation of an optical axis of the directional light with respect to the subject based on the detection result of the detection unit, and a control unit that, in the case of operating the first reduction unit and the second reduction unit at the same time, controls the first reduction unit and the second reduction unit to reduce variation of an irradiation position of the directional light in the subject image received as light by the light receiving section.

A distance measurement device includes a detection unit, an optical path forming unit, a first reduction unit that reduces, based on a detection result of the detection unit, influence of variation of the optical axis of the image formation optical system, a second reduction unit that is disposed in a different part from the common optical path and reduces variation of the optical axis of the directional light based on the detection result of the detection unit, and a control unit that, in the case of operating the first reduction unit and the second reduction unit at the same time, controls the first reduction unit and the second reduction unit to reduce variation of an irradiation position of the directional light in the subject image received as light by the light receiving section.