Disclosed is a distortion rectification method, comprising: taking a wide-angle photograph using a camera of a terminal; determining distortion regions and non-distortion regions in the wide-angle photograph; obtaining a target distortion region selected by a user; dividing the target distortion region into M grid regions of a first pre-set size, wherein M is an integer greater than or equal to one; and respectively performing distortion rectification on the M grid regions of the first pre-set size. Also disclosed is a terminal.

An electronic device is provided. The electronic device includes at least one processor, and a memory functionally connected to the at least one processor. The memory may store instructions that, when executed, enable the electronic device to obtain a plurality of images, generate a first basic extended image based on first images among the plurality of images, identify at least one first masking area included in the first basic extended image, and generate a first inference image by modifying the at least one first masking area using at least one first inference result, based on the first images and the first basic extended image. An angle of view of the first inference image may be larger than an angle of view of each of the first images.

Example video data processing methods and apparatus are disclosed. One example method includes receiving a first stream from a client, where the first bitstream is obtained by encoding image data in a specified spatial object. The specified spatial object is part of panoramic space, and a size of the specified spatial object is larger than a size of a spatial object of the panoramic space corresponding to viewport information. The spatial object corresponding to the viewport information is located in the specified spatial object. The client receives a second stream, where the second bitstream is obtained by encoding image data of a panoramic image of the panoramic space with a lower resolution than a resolution of the image data included in the specified spatial object. The client plays the second bitstream and first bitstream.

A system and method of providing composite real-time dynamic imagery of a medical procedure site from multiple modalities which continuously and immediately depicts the current state and condition of the medical procedure site synchronously with respect to each modality and without undue latency is disclosed. The composite real-time dynamic imagery may be provided by spatially registering multiple real-time dynamic video streams from the multiple modalities to each other. Spatially registering the multiple real-time dynamic video streams to each other may provide a continuous and immediate depiction of the medical procedure site with an unobstructed and detailed view of a region of interest at the medical procedure site at multiple depths. A user may thereby view a single, accurate, and current composite real-time dynamic imagery of a region of interest at the medical procedure site as the user performs a medical procedure.

Methods, devices and stream are disclosed to encode and decode a scene (such as a point cloud) in the context of a patch-based transmission of a volumetric video content. Attributes of points of the scene are projected onto patches. Every point has a geometry attribute. For other attributes, like transparency of displacement attribute, some points may have no value. According to the present principles, each attribute is encoded in a different atlas with its own layout. This allow to save pixel rate in memory of the renderer.

Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Spherical rotation is described for encoding a video that has a wide field of view, such as a spherical or hemispherical video. One example relates to receiving encoded video including rotation orientation metadata, decoding the video, extracting the rotation orientation metadata, rotating the decoded video based on the rotation orientation metadata, generating a view of the rotated decoded video, and buffering the generated view for display.

Rectilinear viewport extraction from a region of a wide field of view is described using messaging in the video transmission field. Some embodiments pertain to a method that includes receiving a wide field of view video, receiving position data from a remote coupled user device, selecting a region of interest in the video based on the received position data, extracting the region of interest from the video, generating region metadata describing the extracted region of interest, encoding the extracted region of interest of the video, and transmitting the encoded video with the region metadata to the user device.

A method for referencing a tracking system's coordinate frame to a rigid body's coordinate frame is disclosed. The method involves obtaining a 3D model depicting some of the surfaces of the rigid body. A probe is provided with an affixed tracking reference component. A second tracking reference component is attached to the rigid body. The method involves tracking locations of the probe as it moves along surfaces of the rigid body and then determining a transform that relates the probe locations to the 3D model of the rigid body. In one embodiment the rigid body is a dental mandible or maxilla of a patient and the 3D model is a surface extracted from a computed tomography image of the patient's jaw and teeth.

Image processing apparatus responsive to successive groups of images of an object captured at the same time by two or more spaced apart image capturing devices and to depth information indicating a three-dimensional location of the object relative to at least one distance measuring device includes: a frame selecting unit configured to select a set of the successive image groups; a model generating unit configured to generate a three dimensional model, for each image group in the set of image groups, from images captured at the same time by the two or more spaced apart image capturing devices and from the depth information, and to map a texture to the generated three dimensional model; and a composition unit configured to generate a stroboscopic image, with respect to a stroboscopic image viewpoint, by superposing the three dimensional models generated by the model generating unit on a predetermined background.