A set of sequential images are accessed. Measures of background stability across a set of images are determined, and the set of images is stabilized based on the determined measures. The images are cropped and stored in sequential order. A first image from the set of cropped images is displayed, and data indicating a change in orientation is received. Responsive to a determination that the change in orientation is associated with forward progress, an image after the first image in the set of sequential images is displayed. Responsive to a determination that the change in orientation is associated with backward progress, an image before the first image in the set of sequential images is displayed. The set of images can include a selected face of an individual and can be ordered chronologically, allowing a user to view older and younger images of the individual when navigating the set of images.

An image stabilization apparatus includes: a first calculation unit configured to calculate an angular velocity of movement of an image capturing apparatus; a second calculation unit configured to calculate a moving amount of an object from a plurality of images; a third calculation unit configured to calculate an angular velocity of movement of the object; a determination unit configured to determine whether or not the object is walking; and a selection unit configured to select, based on a determination result of the determination unit, whether to perform control such that an image stabilization unit corrects image blur based on the angular velocities calculated by the first calculation unit and the third calculation unit, or such that the image stabilization unit corrects image blur based on the angular velocity calculated by the first calculation unit.

According to aspects of the disclosure, a method is provided for use in an electronic device, comprising: capturing one or more image frames by using at least one image sensor of the electronic device; displaying, on a display, a first image that is generated by performing a first-type Digital Image Stabilization (DIS1) based on at least some of the image frames; and storing, in a memory, a second image generated by performing a second-type Digital Image Stabilization (DIS2) based on at least some of the image frames.

An embodiment device for planning a path of a robot includes a camera configured to capture an image in a moving direction of the robot and a controller configured to detect a moving obstacle in the image in the moving direction of the robot, to calculate a speed and a moving direction of the moving obstacle based on a change in a location of the moving obstacle, and to set a region of the moving obstacle based on the speed and the moving direction of the moving obstacle, the region being in a form of an ellipse.

The present disclosure relates to cantilevered imaging modality wearable optical systems that provide for optimal ergonomics coupled with vision enhancement and vision magnification. Methods of use, devices, and kits are also contemplated.

A control apparatus includes a depth information acquirer (3) which acquires depth information of an object image, a position attitude acquirer (8) which acquires position information or attitude information of an apparatus, and an image processor (7, 9) which generates three-dimensional information based on information relating to an optical vibration-proof state of the apparatus, the depth information, and the position information or the attitude information.

A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an input attribute of user engagement with a single-action haptic input mechanism. For example, the duration for which a single-action control button carried on a frame of the device is pressed automatically determines an image stabilization mode for on-board processing of captured image data. In one example, an above-threshold press duration automatically activates a less rigorous image stabilization mode, while button release before expiry of the threshold automatically activates a more rigorous photo stabilization mode.

A system and camera wherein the camera comprises in the light path a diffuser (4). The system or camera comprises a means (6) to modulate the diffusing properties of the diffuser (4) on an image projected by the lens on the sensor during exposure of the image. To the captured blurred image (10) an inverse point spread function is applied to deconvolute (24) the blurred image to a sharper image. Motion invariant image can so be achieved.

The apparatus comprises a camera (10) with a digital sensor read by a mechanism of the rolling shutter type delivering video data (S.sub.cam) line by line. An exposure control circuit (22) adjusts dynamically the exposure time (t.sub.exp) as a function of the level of illumination of the scene that is captured. A gyrometer unit (12) delivers a gyrometer signal (S.sub.gyro) representative of the instantaneous variations of attitude (φ, θ, ψ) of the camera, and a processing circuit (18) that receives the video data (S.sub.cam) and the gyrometer signal (S.sub.gyro) delivers as an output video data processed and corrected for artefacts introduced by vibrations specific to the apparatus. An anti-wobble filter (24) dynamically modifies the gain of the gyrometer signal as a function of the exposure time (t.sub.exp), so as to reduce the gain of the filter when the exposure time increases, and vice versa.

In order to provide movement-direction determination method and apparatus for appropriately informing a holder of a camera of a movement direction of the camera, a processor determines the movement direction of the camera that captures a polygonal recognition target in the movement-direction determination method and the movement-direction determination apparatus of the present disclosure. The processor acquires an orientation of the camera acquired by a sensor included in the camera, acquires an image of the recognition target captured by the camera, determines the number of corners of the recognition target included in the image, and determines the movement direction of the camera based on the orientation of the camera and the number of corners.