A graphics processing system and method of operating a graphics processing system that generates spacewarped frames for display is disclosed. Motion vectors are used to determine the motion of objects appearing in rendered application frames. The so-determined motion is then used to generate spacewarped versions of the rendered application frames.

A graphics processing system and method of operating a graphics processing system that generates spacewarped frames for display is disclosed. Motion vectors are used to determine the motion of objects appearing in rendered application frames. The so-determined motion is then used to generate spacewarped versions of the rendered application frames.

A computer-implemented method, system and computer program is disclosed. The method may comprise providing an image comprising a plurality of pixels, identifying at least one portion of the image to be obfuscated, modifying pixels of the at least one image portion using a key for producing an updated image in which the at least one image portion is obfuscated, providing the key, or a link to the key, in an access profile for the identified at least one image portion and allocating permissions to one or more users for enabling them to view the at least one image portion, by use of the key, when viewing the updated image.

Signal processing devices and methods estimate a geometric transform of an image. One method measures correlation between a transformed reference signal component and an image, updates, based on the measured correlation that is below a threshold, coordinates of the reference signal component to a location within a neighborhood around the coordinates of the transformed reference signal component; determines a new geometric transform that transforms the reference signal components to updated coordinates; and applies the new geometric transform to extract encoded digital data from the image.

Signal processing devices and methods estimate a geometric transform of an image. One method measures correlation between a transformed reference signal component and an image, updates, based on the measured correlation that is below a threshold, coordinates of the reference signal component to a location within a neighborhood around the coordinates of the transformed reference signal component; determines a new geometric transform that transforms the reference signal components to updated coordinates; and applies the new geometric transform to extract encoded digital data from the image.

Methods and systems for sample imaging via two-pass light-field reconstruction. In an exemplary method, a light-field image of a sample may be captured in a light-field plane. The light-field image may be forward-projected computationally to each of a plurality of z-planes in object space to generate a set of forward-projected z-plane images. Backward-projections computationally to the light-field plane of the same xy-region in object space from each z-plane image may be compared with the light-field image, to determine a respective degree of correspondence between the backward-projected xy-region from each of the z-plane images and the light-field image. For each different xy-region, at least one of the forward-projected z-plane images may be selected to contribute data for the different xy-region in a 2D or 3D object-space image of the sample.

Methods and systems for sample imaging via two-pass light-field reconstruction. In an exemplary method, a light-field image of a sample may be captured in a light-field plane. The light-field image may be forward-projected computationally to each of a plurality of z-planes in object space to generate a set of forward-projected z-plane images. Backward-projections computationally to the light-field plane of the same xy-region in object space from each z-plane image may be compared with the light-field image, to determine a respective degree of correspondence between the backward-projected xy-region from each of the z-plane images and the light-field image. For each different xy-region, at least one of the forward-projected z-plane images may be selected to contribute data for the different xy-region in a 2D or 3D object-space image of the sample.

An image processing method and apparatus using a neural network are provided. The image processing method includes generating a plurality of augmented features by augmenting an input feature, and generating a prediction result based on the plurality of augmented features.

An image processing method and apparatus using a neural network are provided. The image processing method includes generating a plurality of augmented features by augmenting an input feature, and generating a prediction result based on the plurality of augmented features.

Disclosed is method for dynamic cropping of full body pose (FBP) image, method comprising: receiving in computing device FBP image from image resource, wherein FBP image comprises face; detecting in received FBP image area of face by bounding box; detecting coordinates of corner points of bounding box; performing distance approximation of detected area of face in received FBP image; cropping distance approximated area of face of FBP image; performing coordinates mapping transformation of cropped FBP image by mapping coordinates of cropped FBP image to received FBP image; segmenting region of hair of cropped FBP image; masking region of hair of cropped FBP image for obtaining hair polymask; and applying masked FBP image to received FBP image according to performed coordinates mapping for obtaining the dynamically cropped FBP image.