A dynamic imaging system is disclosed. The dynamic imaging system may comprise one or more imager, one or more input device, a controller, and/or a display. Each imager may be operable to capture a video stream having a field of view. In some embodiments, the controller may articulate the imager or crop the field of view to change the field of view in response to signals from the one or more input devices. For example, the signal may relate to the vehicle's speed. In other embodiments, the controller may apply a warp to the field of view. The warp may be applied in response to signals from the one or more input devices. In yet other embodiments, video streams from one or more imagers may be stitched together by the controller. Further, the controller may likewise move the stitch line in response to signals from the or more input devices.

One disclosed example provides a videoconferencing system comprising a processor and a storage device storing instructions executable by the processor to obtain an image of a scene acquired via a camera, the image of the scene comprising image distortion arising from a camera pitch angle at which the image of the scene was acquired. The instructions are further executable to apply a projection mapping to the image of the scene to map the image of the scene to a projection comprising a tilt parameter that is based upon the camera pitch angle at which the image of the scene was acquired, thereby obtaining a corrected image, and output the corrected image.

One disclosed example provides a videoconferencing system comprising a processor and a storage device storing instructions executable by the processor to obtain an image of a scene acquired via a camera, the image of the scene comprising image distortion arising from a camera pitch angle at which the image of the scene was acquired. The instructions are further executable to apply a projection mapping to the image of the scene to map the image of the scene to a projection comprising a tilt parameter that is based upon the camera pitch angle at which the image of the scene was acquired, thereby obtaining a corrected image, and output the corrected image.

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.

An apparatus includes an imaging probe and is configured for dynamically arranging presentation of visual feedback for guiding manual adjustment, via the probe, of a location, and orientation, associated with the probe. The arranging is selectively based on comparisons between fields of view of the probe and respective results of segmenting image data acquired via the probe. In an embodiment, the apparatus includes a sensor which guides a decision that acoustic coupling quality is insufficient, the apparatus issuing a user alert upon the decision.

An apparatus includes an imaging probe and is configured for dynamically arranging presentation of visual feedback for guiding manual adjustment, via the probe, of a location, and orientation, associated with the probe. The arranging is selectively based on comparisons between fields of view of the probe and respective results of segmenting image data acquired via the probe. In an embodiment, the apparatus includes a sensor which guides a decision that acoustic coupling quality is insufficient, the apparatus issuing a user alert upon the decision.

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.

An image display method includes the following operations (a) to (e). The (a) is of obtaining a plurality of two-dimensional images by two-dimensionally imaging a specimen, in which a plurality of objects to be observed are present three-dimensionally in the specimen, at a plurality of mutually different focus positions. The (b) is of obtaining image data representing a three-dimensional shape of the specimen. The (c) is of obtaining a three-dimensional image of the specimen based on the image data. The (d) is of obtaining the two-dimensional image selected from the plurality of two-dimensional images or a two-dimensional image generated to be focused on the plurality of objects based on the plurality of two-dimensional images as an integration two-dimensional image. The (e) is of integrating the integration two-dimensional image obtained in the (d) with the three-dimensional image obtained in the (c) and displaying an integrated image on a display unit.

A method for deriving at least one item of information from images of a stereo camera. A resource-saving and at the same time accurate derivation of information from the images is achieved by alternately using and processing the images with methods of monocular image processing and deriving at least one item of information from the results. A motor vehicle comprising a stereo camera and comprising a control device which carries out the method, are also described.

The present disclosure relates to systems, non-transitory computer-readable media, and methods that implement a neural network framework for interactive multi-round image generation from natural language inputs. Specifically, the disclosed systems provide an intelligent framework (i.e., a text-based interactive image generation model) that facilitates a multi-round image generation and editing workflow that comports with arbitrary input text and synchronous interaction. In particular embodiments, the disclosed systems utilize natural language feedback for conditioning a generative neural network that performs text-to-image generation and text-guided image modification. For example, the disclosed systems utilize a trained model to inject textual features from natural language feedback into a unified joint embedding space for generating text-informed style vectors. In turn, the disclosed systems can generate an image with semantically meaningful features that map to the natural language feedback. Moreover, the disclosed systems can persist these semantically meaningful features throughout a refinement process and across generated images.