In some embodiments, an encoder may generate, for each of a plurality of block vectors, an intra block compensated prediction of a block. The encoder may select, based on the intra block compensated predictions of the block, a block vector from the plurality of block vectors for the block. The encoder may determine affine transform parameters of the intra block compensated prediction for the block vector. The decoder may signal, in a bit stream, an indication of an affine transform of the intra block compensated prediction and the affine transform parameters.

An image processing method includes presetting an image processing model and performing the following processing based on the model when a first three-dimensional effect plane image is displayed in response to an operation of a user. The method further includes mapping the first three-dimensional effect plane image to the projection plane, determining, according to the three-dimensional position relationship among the viewpoint, the projection plane, and the view window and the size of the view window, a first visual area obtained by projection onto the projection plane through the viewpoint and the view window, and clipping a first image in the first visual area, and displaying the first image.

An apparatus for generating a map identifies a lane line and a feature other than a lane line on a road from a first image of a predetermined location of the road taken downward from the sky; identifies the lane line and the feature from a second image representing the predetermined location of the road and made based on images taken by a camera provided for a vehicle; aligning the first images with the second images, based on the predetermined location; deforms the second image so that the feature in the second image best fits the feature in the first image; further deforms the second image in a direction perpendicular to the front-back direction of the road so that the position of the feature remains unchanged and that the positions of the lane lines in the first and second images match; and combines the first and deformed second images.

A method and system for generating synthetic images for use in a database is described. The database is used for delineation of features in real images, the method comprising the steps of: providing a delineated image acquired using a first scanner, defining a model related to the generation of synthetic images using a second scanner, processing the delineated image using the model to generate a synthetic image, mapping contours to the synthetic image to form a synthetic image-contour pair; repeating providing, defining and processing steps to generate a plurality of synthetic images and contour pairs for the database; using said database of synthetic images and contour pairs to optimise a contouring algorithm, where the optimised algorithm generates contours for the real images of the same type as the synthetic images; processing one or more further real images to contour and delineate features on the further real image using the algorithm.

Provided is a method for reconstructing content image data. The method includes selecting a first point and a second point in a first image of first content, selecting a third point and a fourth point in a second image of second content (the second image is an image corresponding to the first image and the third point and the fourth point are points in an image corresponding to the first point and the second point, respectively), generating a first reference vector using the first point and the second point, generating a second reference vector using the third point and the fourth point, calculating a rotation, scale, and transformation (RST) value from the first image to the second image using the first reference vector and the second reference vector; and reconstructing the second content using the calculated RST value.

Embodiments of this disclosure include a training method for an image processing model. In the method, parameters of an encoder in the image processing model are updated according to a to-be-replaced face in an original image, to configure the encoder to encode the to-be-replaced face to obtain a visual feature of the to-be-replaced face. Parameters of a decoder in the image processing model are updated according to the to-be-replaced face in the original image, to configure the decoder to perform decoding based on the visual feature of the to-be-replaced face. The parameters of the decoder are further updated according to a target face in a target image without changing the parameters of the encoder, to configure the decoder to perform decoding based on the visual feature of the to-be-replaced face and obtain a target face having the same visual feature as the to-be-replaced face.

A method of content production includes generating a survey of a performance area that includes a point cloud representing a first physical object, in a survey graph hierarchy, constraining the point cloud and a taking camera coordinate system as child nodes of an origin of a survey coordinate system, obtaining virtual content including a first virtual object that corresponds to the first physical object, applying a transformation to the origin of the survey coordinate system so that at least a portion of the point cloud that represents the first physical object is substantially aligned with a portion of the virtual content that represents the first virtual object, displaying the first virtual object on one or more displays from a perspective of the taking camera, capturing, using the taking camera, one or more images of the performance area, and generating content based on the one or more images.

An apparatus for converting a diagnostic image according to some embodiments of the present invention includes an input unit for inputting a CT image, a converting module configured to convert the CT image inputted via the input unit into an MRI image, and an output unit configured to output the MRI image converted by the converting module.

An image processing apparatus designates a first partial region for a first image obtained by rendering a configuration of an object in accordance with a predetermined coordinate system, designates a second partial region corresponding to the first partial region for a second image including an image obtained by capturing the object, and converts an image of the second partial region into an image complying with the predetermined coordinate system based on a coordinate of the first partial region in the first image and a coordinate of the second partial region in the second image. In the designation of the first partial region, different first partial regions in the first image are sequentially designated, and a first partial region at a (k+1)-th time based on a first partial region designated at a k-th time.

A calculation method for causing a computer to execute processing of: acquiring first measurement information including information of a distance to an object measured by a first sensor, and second measurement information including information of a distance to the object measured by a second sensor; acquiring a first vector, a second vector in a different direction from the first vector, and a first translation point from the first measurement information; acquiring information of a third vector treated as a vector parallel to and in a same direction as the first vector, a fourth vector treated as a vector parallel to and in a same direction as the second vector, and a second translation point treated as a same position as the first translation point from the second measurement information; calculating a rotation angle and a translation distance for aligning a point group of the object measured by the second sensor.