A point cloud decoding method related to the field of coding technologies and includes reconstructing a point cloud comprising one or more patches, wherein the one or more patches comprise a current patch, wherein the reconstructing process includes transforming coordinates (x2, y2) of a second point of the current patch in a second coordinate system to coordinates (x1, y1) of a first point of the current patch in a first coordinate system, wherein the coordinates (x1, y1) of the first point of the current patch in the first coordinate system are obtained based on the coordinates (x2, y2) of the second point of the current patch in the second coordinate system and a transform matrix.

Systems and methods are presented for providing a machine learning model for segmenting an optical coherence tomography (OCT) image. A first OCT image is obtained, and then labeled with identified boundaries associated with different tissues in the first OCT image using a graph search algorithm. Portions of the labeled first OCT image are extracted to generate a first plurality of image tiles. A second plurality of image tiles is generated by manipulating at least one image tile from the first plurality of image tiles, such as by rotating and/or flipping the at least one image tile. The machine learning model is trained using the first plurality of image tiles and the second plurality of image tiles. The trained machine learning model is used to perform segmentation in a second OCT image.

A system, apparatus and method for utilizing a transpose function to generate a two-dimensional array from three-dimensional input data. The use of the transpose function reduces redundant elements in the resultant two-dimensional array thereby increasing efficiency and decreasing power consumption.

In a video monitoring system including HD and SD cameras, the system includes, on the transmitting side, a division/rotation processing unit for dividing an SD image into multiple divided images horizontally and performing a process for rotating the divided images by 90 degrees to the left, an image insertion unit for arranging and superimposing the divided images in a text telop region of an HD image, and a HD encoder for compressing and transmitting the HD image with the SD image superimposed. The system further includes, on the receiving side, a HD decoder for expanding the received HD image, and an output image processing unit for extracting the multiple divided images of the SD image and rotating these images by 90 degrees to the right, sorting and combining these images to reproduce the SD image, and outputting the expanded output HD image and the reproduced output SD image.

Techniques related to performing image registration are discussed. Such techniques include converting a source image region and a target image portion from a color image space to a semantic space and iteratively converging homography parameters using the source image region and target image portion in the semantic space by applying iterations with some homography parameters allowed to vary and others blocked from varying and subsequent iterations with all homography parameters allowed to vary.

A system, apparatus and method for utilizing a transpose function to generate a two-dimensional array from three-dimensional input data. The use of the transpose function reduces redundant elements in the resultant two-dimensional array thereby increasing efficiency and decreasing power consumption.

The invention provides a reverse image display system. An image blocking module segments a reverse image into visual saliency image blocks and non-visual saliency image blocks according to visual saliency. A denoising module denoises the visual saliency image blocks by a BM3D algorithm, and denoises the non-visual saliency image blocks by a mean filtering algorithm. A composition module composites the denoised visual saliency image blocks and non-visual saliency image blocks into a final required reverse image which is transmitted to an automobile display screen for display. The visual saliency image blocks are denoised by the BM3D algorithm, so that the obtained image is more easily watched by human eyes, and the non-visual saliency image blocks are denoised by the mean filtering algorithm, denoising speed can be increased while certain image quality is maintained, and the denoising speed can be conveniently increased by a computer as a whole.

An apparatus adapted, including a media encoder coupled to a data interface adapted to receive a frame or portion thereof. The media encoder is adapted to iteratively subdivide each block of a plurality of blocks partitioned in a frame or portion thereof and to process a subdivided block of the plurality of blocks, during each iteration of a plurality of iterations, by selecting a rotational symmetry mask fulfilling an efficiency measure for coding said block, the rotational symmetry mask selected from a plurality of rotational symmetry masks which define a plurality of different rotational symmetries in a multidimensional space, splitting the subdivided block to two complementary portions based on the rotational symmetry mask, generating a pair of rotational symmetry blocks each having one of said two complementary portions, and computing a plurality of transform coefficients from the pair of rotational symmetry blocks.

Methods and systems for displaying an image of a medical procedure (e.g., an intraoperative image) with additional information (e.g., data) that can augment the image of the medical procedure are provided. Augmenting the image can include overlaying data from a first image to a second image. Overlaying the data can involve determining, for a point or multiple points in the first image, a matching location or multiple matching locations in a second image. The first image and the second image can be of a patient. Determining the matching location can involve using a rotation and scale invariant geometrical relationship. The matching locations can be used as the basis for the overlay.

In a video monitoring system including HD and SD cameras, the system includes, on the transmitting side, a division/rotation processing unit for dividing an SD image into multiple divided images horizontally and performing a process for rotating the divided images by 90 degrees to the left, an image insertion unit for arranging and superimposing the divided images in a text telop region of an HD image, and a HD encoder for compressing and transmitting the HD image with the SD image superimposed. The system further includes, on the receiving side, a HD decoder for expanding the received HD image, and an output image processing unit for extracting the multiple divided images of the SD image and rotating these images by 90 degrees to the right, sorting and combining these images to reproduce the SD image, and outputting the expanded output HD image and the reproduced output SD image.