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公开(公告)号：US12105473B2
公开(公告)日：2024-10-01
申请号：US17410586
申请日：2021-08-24
Applicant: DUALITAS LTD
Inventor： Jamieson Christmas
IPC: G03H1/22 , G03H1/02 , G06T3/00 , G06T3/4084
CPC classification number: G03H1/2294 , G06T3/00 , G06T3/4084 , G03H2001/0224
Abstract: Methods of performing a complex Fourier transform of a complex data set corresponding to an image are disclosed. The methods comprise receiving a complex data set and performing a first 1D complex Fourier transform in the complex data set in Cartesian form; converting the complex data set into polar form and compressing the complex data set in polar form; performing a row-column transformation of the complex data set; decompressing the complex data set and converting the complex data set back into Cartesian form; and performing a second 1D Fourier transform in the complex data set in Cartesian form, wherein the second 1D complex Fourier transform is orthogonal to the first 1D complex Fourier transform. Corresponding systems are also disclosed, as are application to the iterative computation of computer-generated holograms.
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2.发明授权
公开(公告)号：US12064258B2
公开(公告)日：2024-08-20
申请号：US17415754
申请日：2019-12-19
Applicant: Coloplast A/S
Inventor： Niels Kristian Maekinen Andersen
IPC: A61B5/00 , A61B5/103 , G06T3/4084 , G06T7/00 , G06T7/70
CPC classification number: A61B5/4851 , A61B5/0077 , A61B5/1032 , G06T3/4084 , G06T7/0012 , G06T7/70
Abstract: A method for classifying an ostomy condition is disclosed, the method comprising obtaining image data; determining one or more ostomy representations including a first ostomy parameter based on the image data; and outputting the first ostomy parameter, wherein the method comprises transforming the image data, and wherein determining the one or more ostomy representations based on the image data comprises determining the first ostomy parameter based on the transformed image data.
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公开(公告)号：US20240081613A1
公开(公告)日：2024-03-14
申请号：US18516232
申请日：2023-11-21
Inventor： Kurt G. Shelton , Sergey A. Bukesov
CPC classification number: A61B1/000094 , A61B1/0005 , A61B1/00147 , A61B5/0075 , A61B5/06 , G06T3/20 , G06T3/4084 , G06T3/60 , G06T7/0014 , G06T2207/10016 , G06T2207/10068 , G06T2207/20101 , G06T2207/30004
Abstract: Systems, devices, and methods for endoscopic mapping of a target and tracking of endoscope locations inside a subject's body during a procedure are disclosed. An exemplary system comprises an imaging system configured to capture an endoscopic image of the target that includes a footprint of an aiming beam directed at the target, and a video processor configured to identifying one or more landmarks from the captured endoscopic image and determine their respective locations relative to the aiming beam footprint, and generate a target map by integrating a plurality of endoscopic images based on landmarks identified from one or more of the plurality of endoscopic images. The target map can be used to track endoscope location during an endoscopic procedure.
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公开(公告)号：US11769226B2
公开(公告)日：2023-09-26
申请号：US17158553
申请日：2021-01-26
Applicant: KYOCERA Document Solutions Inc.
Inventor： Sheng Li , Dongpei Su
CPC classification number: G06T3/4046 , G06T1/20 , G06T3/4053 , G06T3/4084
Abstract: Systems and methods upscale an input image by a final upscaling factor. The systems and methods employ a first module implementing a super resolution neural network with feature extraction layers and multiple sets of upscaling layers sharing the feature extraction layers. The multiple sets of upscaling layers upscale the input image according to different respective upscaling factors to produce respective first module outputs. The systems and methods select the first module output with the respective upscaling factor closest to the final upscaling factor. If the respective upscaling factor for the selected first module output is equal to the final upscaling factor, the systems and methods output the selected first module output. Otherwise, the systems and methods provide the selected first module output to a second module that upscales the selected first module output to produce a second module output corresponding to the input image upscaled by the final upscaling factor.
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公开(公告)号：US11722631B2
公开(公告)日：2023-08-08
申请号：US17536699
申请日：2021-11-29
Applicant: GoPro, Inc.
Inventor： Nicholas D. Woodman , Sumit Chawla , Loic Segapelli , Scott Patrick Campbell
IPC: H04N5/262 , H04N21/2343 , G09G5/00 , H04N7/01 , H04N23/80 , G06T3/00 , G06T3/40 , H04N21/4402 , G06T3/20
CPC classification number: H04N5/2628 , G06T3/0093 , G06T3/4069 , G09G5/005 , H04N7/0122 , H04N21/234372 , H04N23/80 , G06T3/20 , G06T3/40 , G06T3/4084 , G09G2340/0442 , H04N21/440272
Abstract: A camera system captures an image in a source aspect ratio and applies a transformation to the input image to scale and warp the input image to generate an output image having a target aspect ratio different than the source aspect ratio. The output image has the same field of view as the input image, maintains image resolution, and limits distortion to levels that do not substantially affect the viewing experience. In one embodiment, the output image is non-linearly warped relative to the input image such that a distortion in the output image relative to the input image is greater in a corner region of the output image than a center region of the output image.
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公开(公告)号：US20230188731A1
公开(公告)日：2023-06-15
申请号：US18078179
申请日：2022-12-09
Applicant: Vertigo.ai ApS
Inventor： Jacob Gorm HANSEN
IPC: H04N19/167 , G06T7/73 , G06T3/40 , H04N19/85 , G06T7/246 , H04N19/172 , H04N19/132 , H04N19/105 , H04N19/60 , H04N19/42 , H04N19/12
CPC classification number: H04N19/167 , G06T7/74 , G06T3/4084 , H04N19/85 , G06T7/248 , H04N19/172 , H04N19/132 , H04N19/105 , H04N19/60 , H04N19/42 , H04N19/12 , G06T3/4046 , G06T2207/30201 , G06T2207/10016
Abstract: According to an image transmission method, a pre-processed image is inputted into a compression system, which automatically localizes at least one primary feature in the pre-processed image and then automatically determines a position within the pre-processed image of at least one landmark corresponding to the at least one primary feature. It then automatically foveates the pre-processed image to emphasize portions of the pre-processed image within a pre-determined measure of closeness to the landmark(s) and transmits the foveated image to at least one recipient system, which reconstructs a received version of the pre-processed image by inverse foveation. In one embodiment, an incompressible fluid mechanics model is used to determine the degree of foveation at different points in the pre-processed image.
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公开(公告)号：US20230169690A1
公开(公告)日：2023-06-01
申请号：US17537948
申请日：2021-11-30
Applicant: Verizon Patent and Licensing Inc.
Inventor： Vidhya Seran , Syed B Aziz
CPC classification number: G06T9/00 , G06T7/60 , G06T3/4084 , G06T7/73 , G06T7/168 , G06T2207/20064 , G06T2207/10028
Abstract: An illustrative point cloud compression system accesses an input point cloud dataset representative of a point cloud comprising a plurality of points. The point cloud compression system identifies a first attribute dataset and a second attribute dataset within the input point cloud dataset. Based on an application of a transform algorithm to the first and second attribute datasets, respectively, the point cloud compression system generates 1) a first low-frequency component and a first high-frequency component of the first attribute dataset, and 2) a second low-frequency component and a second high-frequency component of the second attribute dataset. The point cloud compression system then generates an output point cloud dataset that prioritizes both the first and second low-frequency components above both the first and second high-frequency components. Corresponding methods and systems are also disclosed.
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公开(公告)号：US20230149215A1
公开(公告)日：2023-05-18
申请号：US18154840
申请日：2023-01-15
Applicant: AMO Development, LLC
Inventor： Javier Gonzalez
CPC classification number: A61F9/008 , G16H30/40 , G06T3/4084 , A61F2009/00876
Abstract: In a laser cataract procedure that also corrects for astigmatism, an iris registration method compares an iris image of a patient's eye taken when the eye is not docked to a patient interface device with an iris image of the same eye that is docked to the patient interface, to calculate a rotation angle between the two images. The astigmatism axis of the eye is measured when the eye is not docked, and the measured axis is rotated by the calculated rotation angle to obtain a rotated astigmatism axis relative to the iris image of the docked eye. The laser cataract procedure is performed based on the rotated astigmatism axis. The rotation angle is calculated by optimizing a transformation that transforms the undocked iris image to match the docked iris image, where the transformation includes a dilation factor that accounts for different pupil dilation of the two iris images.
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公开(公告)号：US20180357769A1
公开(公告)日：2018-12-13
申请号：US16000060
申请日：2018-06-05
Applicant: Conti Temic microelectronic GmbH
Inventor： Axel ROTH , Dimitri HAMIDI , Bingxiang CHENG , Thomas BOPP
CPC classification number: G06T7/13 , G06K9/00798 , G06K9/4604 , G06T3/4084 , G06T7/11 , G06T7/168 , G06T2207/10024 , G06T2207/20064
Abstract: The invention relates to a method for recognizing edges in a camera image (A) produced by means of a camera, having the steps of: assigning (Si) a respective scaling size to each pixel (aij) of the camera image (A) as a function of object distances of a spatial region imaged in the pixel (aij) with respect to the camera; producing (S2) an integral image (B) from the camera image (A); applying (S3) Haar wavelet transforms to the pixels (bij) of the produced integral image (B) in order to generate a gradient image (C), wherein a scaling of the Haar wavelets is determined for each pixel (bij) of the integral image (B) which is to be transformed, taking account of the scaling size assigned to the corresponding pixel (aij) of the camera image (A); and recognizing (S4) edges in the camera image (A) using the generated gradient image (C).
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10.发明申请
公开(公告)号：US20180330474A1
公开(公告)日：2018-11-15
申请号：US16033132
申请日：2018-07-11
Applicant: FLIR Systems, Inc. , NOISELESS IMAGING OY LTD
Inventor： Rakesh Mehta , Karen Egiazarian
IPC: G06T3/40
CPC classification number: G06T3/4061 , G06T3/4076 , G06T3/4084
Abstract: Various techniques are disclosed for systems and methods to provide image resolution enhancement. For example, a method includes: receiving an original image (e.g., a visible light image) of a scene comprising image pixels identified by pixel coordinates; resizing the original image to a larger size, where the resized image is divided into a first plurality of reference blocks; enhancing a resolution of the resized image by iteratively: injecting high frequency data into the resized image, extracting from the resized image a first plurality of matching blocks that meet a mutual similarity condition with respect to the reference block, and adjusting the high frequency data of the reference block based on a correlation between the reference block and the first plurality of matching blocks. A system configured to perform such a method is also disclosed.
