According to one or more embodiments, a non-transitory computer readable medium storing a program which, when executed, causes a computer to perform processing comprising acquiring image data, applying style transfer to the image data a plurality of times based on one or more style images, and outputting data after the style transfer is applied.

A spirometry system includes an imaging device configured to capture upper body movement images of a subject during inhalation and exhalation of the subject. The system further includes at least one controller configured to receive the captured images from the imaging device and, based upon the received images, determine at least one of an image-based spirometry flow-volume curve for the subject or an image-based spirometry parameter for the subject.

An image coloring method includes: acquiring first color a priori information about an image-to-be-colored; transforming the first color a priori information to obtain second color a priori information aligned with the image-to-be-colored; downsampling the image-to-be-colored to obtain a first image feature; performing modulation coloring processing on the first image feature based on the second color a priori information to obtain a second image feature; and upsampling the second image feature based on the second color a priori information to obtain a first colored image, where the first colored image is aligned with the image-to-be-colored.

A mirrored gallery view is provided of a breakout room in an online meeting user interface associated with a videoconferencing session with a session view established in a videoconferencing system. The mirrored gallery view displays video feeds of meeting participants on their respective participant computers. The video feeds are camera-captured views of each of the meeting participants, The videoconferencing system creates a breakout room within the videoconferencing session for a subset of the meeting participants, thereby allowing the subset of the meeting participants to engage with one another within the breakout room during the videoconferencing session. A video processor automatically creates mirrored views of the video feed of each of the subset of meeting participants in the breakout room whose video feed in the videoconferencing session is not currently mirrored. The videoconferencing system generates instructions for a gallery view of the breakout room in the online meeting user interface using only mirrored views of the video feeds of the subset of meeting participants in the breakout room, including the mirrored views created by the video processor, and transmits instructions to display the gallery view of the breakout room in the online meeting user interface to all meeting participants in the breakout room on their respective participant computers. In this manner, all of the meeting participants in the breakout room are displayed as mirrored views of their respective video feeds. A similar process occurs with conversation groups in a virtual space view in an online meeting user interface associated with a videoconferencing session established in a videoconferencing system.

The present invention provides an auxiliary berthing method and system for a vessel. In the berthing method, by a solar blind ultraviolet imaging method, a position and an attitude of a vessel relative to a shoreline of a port berth during berthing are calculated by at least two solar blind ultraviolet imaging modules according to light signals received by a solar blind ultraviolet light source array arranged in advance on the shore. Further, when more than three solar blind ultraviolet imaging modules are used, in the method and device of the present invention, a normalized correlation algorithm and a data fusion algorithm are used to improve the accuracy of the position and attitude data of the vessel.

Methods and systems for training a neural network include generate an image of a mask. A copy of an image is generated from an original set of training data. The copy is altered to add the image of a mask to a face detected within the copy. An augmented set of training data is generated that includes the original set of training data and the altered copy. A neural network model is trained to recognize masked faces using the augmented set of training data.

Techniques are described for dynamically correcting image distortion during imaging of a patterned sample having repeating spots. Different sets of image distortion correction coefficients may be calculated for different regions of a sample during a first imaging cycle of a multicycle imaging run and subsequently applied in real time to image data generated during subsequent cycles. In one implementation, image distortion correction coefficients may be calculated for an image of a patterned sample having repeated spots by: estimating an affine transform of the image; sharpening the image; and iteratively searching for an optimal set of distortion correction coefficients for the sharpened image, where iteratively searching for the optimal set of distortion correction coefficients for the sharpened image includes calculating a mean chastity for spot locations in the image, and where the estimated affine transform is applied during each iteration of the search.

A method for generating an output image from an input image and an input text instruction that specifies a location and a modification of an edit applied to the input image using a neural network is described. The neural network includes an image encoder, an image decoder, and an instruction attention network. The method includes receiving the input image and the input text instruction; extracting, from the input image, an input image feature that represents features of the input image using the image encoder; generating a spatial feature and a modification feature from the input text instruction using the instruction attention network; generating an edited image feature from the input image feature, the spatial feature and the modification feature; and generating the output image from the edited image feature using the image decoder.

Disclosed is an automatic reorientation method from an SPECT three-dimensional reconstructed image to a standard view, wherein a rigid registration parameter P between a SPECT three-dimensional reconstructed image A and a standard SPECT image R is extracted by using a rigid registration algorithm to form a mapping database of A and P; features of the image A are extracted by using a three-layer convolution module, and are converted into a 6-dimensional feature vector T after three times of full connection, and T is applied to A through a spatial transformer network to form an orientation result predicted by the network, thus establishing the automatic reorientation model of the SPECT three-dimensional reconstructed image. The SPECT three-dimensional reconstructed image to be orientated is taken as an input. A standard view can be obtained by using the automatic reorientation model of the SPECT three-dimensional reconstructed image for automatic turning.

A method which may effectively provide an endoscope or other surgical instrument with a synthetic multi-camera array may comprise capturing using one or more cameras located at a distal tip of the surgical instrument, a set of images comprising first and second images. For each image in such set of images, that image may be captured by a corresponding camera from the one or more cameras, may be captured when the distal dip of the instrument is located at a corresponding point in space. Such a method may also comprise generating a three dimensional image based on compositing representations of a structure in the first and second image after applying a non-rigid transformation to one or more of those representations.