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公开(公告)号：US20240249385A1
公开(公告)日：2024-07-25
申请号：US18157995
申请日：2023-01-23
申请人： Dell Products L.P.
CPC分类号： G06T5/001 , G06F16/58 , G06F16/587 , G06T3/40 , G06T5/50 , G06T7/0002 , G06T2207/10032 , G06T2207/30168
摘要： Automatic image splicing with metadata retention is disclosed. An image is retrieved from an image repository and checked for missing or invalid pixels. Additional images are retrieved from the image repository based on the missing or invalid pixels. Valid pixels from the additional images are used to replace the missing or invalid pixels in the original image. The resulting spliced image is complete. Metadata from all images represented in the spliced image are included in a metadata lineage associated with the spliced image.
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公开(公告)号：US20240193731A1
公开(公告)日：2024-06-13
申请号：US18079826
申请日：2022-12-12
申请人： Google LLC
发明人： Liang Liang , Dohyun Kim
CPC分类号： G06T5/001 , G06T7/90 , G06V10/25 , G06V10/751 , G06V40/161
摘要： Implementations described herein relate to methods, devices, and computer-readable media to automatically adjust white balance in an image. In some implementations, a computer-implemented method includes detecting a face in the image, wherein the face corresponds to a plurality of pixels. The method further includes determining a region of interest (ROI) for the face, wherein the region of interest excludes at least one pixel from the plurality of pixels that correspond to the face. The method further includes performing a face color calculation for the face based on the region of interest for the face. The method further includes adjusting the white balance in the image based on the face color calculation to obtain an output image.
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公开(公告)号：US20240144432A1
公开(公告)日：2024-05-02
申请号：US18480768
申请日：2023-10-04
发明人： TORU KOKURA
CPC分类号： G06T5/001 , G06T5/50 , G06T2207/20084
摘要： In the present disclosure, an appropriate inference is made using a recurrent-type neural network in image restoration processing. An input-image-acquisition unit acquires input image data. A learning-parameter-acquisition unit acquires a learning parameter to learn an image restoration network. An initialization determination unit acquires learning-sequence-length-information from the learning parameter and generates initialization information specifying a frame where two degradation restoration units perform initialization. Each degradation restoration unit receives one frame (current frame) of the input image data, sees the initialization information, determines whether to initialize recurrent information in a current frame inference, makes an inference about the current frame using initial image data or an inference result about a preceding frame immediately before the current frame as recurrent information, and outputs the inference result to a synthesis unit and the degradation restoration unit itself. The synthesis unit synthesizes two inference results about the same frame from the two degradation restoration units.
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公开(公告)号：US20240135494A1
公开(公告)日：2024-04-25
申请号：US18300095
申请日：2023-04-12
发明人： Junsang Yu , Kinam Kwon , Jaehyoung Yoo , Sangwon Lee , Hyong Euk Lee
CPC分类号： G06T5/001 , G06T5/50 , G06T7/0002 , G06T7/90 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084 , G06T2207/30168
摘要： A method, implemented by a processor, of correcting lighting of an image includes inputting an input image to a first neural network and generating predicted lighting data corresponding to lighting of the input image and embedding data corresponding to a feature of the input image, inputting the generated predicted lighting data, the generated embedding data, and sensor data to a second neural network and generating a lighting weight corresponding to the input image, and generating correction lighting data for the input image by applying the generated lighting weight to preset basis lighting data corresponding to the input image.
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公开(公告)号：US11961208B2
公开(公告)日：2024-04-16
申请号：US17578750
申请日：2022-01-19
CPC分类号： G06T5/001 , G06T5/50 , G06T7/251 , G06V20/56 , G06V20/64 , G06T2207/10028 , G06T2207/20221 , G06T2207/30252 , G06V2201/12
摘要： Correcting motion-based inaccuracy in point cloud data generated by one or more sensors carried by a scanning platform, and associated systems and methods are disclosed herein. A representative method includes associating a motion model with a target object of the point cloud, estimating adjusting factors based on the motion model, and adjusting scanning points in the point cloud using the adjusting factors.
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公开(公告)号：US20240065554A1
公开(公告)日：2024-02-29
申请号：US18260563
申请日：2022-01-11
发明人： Thomas SERVAL , Ali MOUIZINA
IPC分类号： A61B5/00 , A47G1/02 , A61B5/01 , G06T5/00 , G06T5/20 , G06T7/00 , G06V10/764 , G06V10/77 , G06V20/20 , G06V20/64 , G06V40/10
CPC分类号： A61B5/0079 , A47G1/02 , A61B5/01 , A61B5/444 , A61B5/7253 , A61B5/7425 , G06T5/001 , G06T5/20 , G06T7/0014 , G06V10/764 , G06V10/7715 , G06V20/20 , G06V20/64 , G06V40/10 , A61B2090/365 , A61B2562/0233 , A61B2562/0257 , A61B2562/0271
摘要： Systems and methods are provided for performing skin analysis using smart mirror systems. In one example, a plurality of RGB images are acquired via an RGB camera integrated with a smart mirror. Using the RGB images as input, multiple skin key performance indicators (KPIs, also referred to as skin features) including sebum porphyrin, redness, acne, eczema, rosacea, UV spots, brown spots, eye bags, scars are classified and/or quantified. In particular, computer vision algorithms are used in order to detect tone changes within the user's skin, and segment the various skin features. Thus, the systems and methods describes herein are robust in adapting to different skin colors, tones, and/or hues.
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公开(公告)号：US20240037703A1
公开(公告)日：2024-02-01
申请号：US18380281
申请日：2023-10-16
发明人： Jihye KIM , Seon Min RHEE , Jongseok KIM , Heewon KIM , Seungju HAN , Jaejoon HAN
CPC分类号： G06T5/001 , G06T5/50 , G06V10/40 , G06T2207/20084 , G06T2207/10048 , G06T2207/20081 , G06T2207/10028
摘要： An image processing method includes receiving an input image and a guide image corresponding to the input image, extracting informative features from the input image and the guide image to enhance the input image, selectively obtaining a first feature for the input image from among the informative features, and processing the input image based on the first feature.
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8.发明授权公开(公告)号：US11889199B2
公开(公告)日：2024-01-30
申请号：US17612043
申请日：2020-05-21
发明人： Yoshitaka Miyatani
IPC分类号： H04N23/745 , G06V10/60 , G06T5/00 , G06T5/50 , G06T7/20 , H01L27/146
CPC分类号： H04N23/745 , G06T5/001 , G06T5/50 , G06T7/20 , G06V10/60 , G06T2207/20212 , H01L27/1464 , H01L27/14621 , H01L27/14623 , H01L27/14627 , H01L27/14636 , H01L27/14645
摘要： The present technology relates to an imaging device, a signal processing device, a signal processing method, a program, and an imaging apparatus that are designed to reduce flicker in the imaging apparatus that does not use any imaging lens.
The imaging device includes: a pixel region in which a plurality of pixels including a pixel that receives incident light and outputs one detection signal indicating an output pixel value modulated depending on the incident angle of the incident light is arranged in a row direction and a column direction, and is sequentially exposed row by row, the incident light entering from an object via neither an imaging lens nor a pinhole; and a plurality of detection regions that are disposed in different rows in the pixel region, and are used for flicker detection. The present technology can be applied to an imaging apparatus, for example.-
公开(公告)号：US20240020873A1
公开(公告)日：2024-01-18
申请号：US18026479
申请日：2020-09-25
申请人： NEC Corporation
发明人： Hiroshi HASHIMOTO
IPC分类号： G06T7/73 , G06T5/00 , G06V10/776
CPC分类号： G06T7/73 , G06T5/001 , G06V10/776 , G06T2207/30201 , G06V40/165
摘要： An image generation system includes: a detection unit that detects a position information about a position of a face or a position of a feature point of the face from an image; an acquisition unit that obtains a perturbed position information that takes into account an error that occurs when the position information is detected, for the position information; and a generation unit that generates a new image including the face on the basis of the perturbed position information. According to such an image generation system, it is possible to properly generate a new image in view of the error in position estimation.
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公开(公告)号：US20240005468A1
公开(公告)日：2024-01-04
申请号：US18034631
申请日：2021-11-04
发明人： Yao XIAO , Yang ZHANG
CPC分类号： G06T7/0002 , G06T2207/30168 , G06T5/001 , G06T7/41
摘要： An image distortion evaluation method and apparatus, and a computer device. The method comprises: acquiring an original image and an enhanced image; respectively performing partitioning processing on the original image and the enhanced image, so as to obtain a plurality of first blocks of the original image and a plurality of second blocks of the enhanced image; acquiring a preset proportionate window size that accords with the characteristics of human eye vision, and according to the proportionate window size, respectively compiling statistics on first proportion information entropies respectively corresponding to the plurality of first blocks of the original image and second proportion information entropies respectively corresponding to the plurality of second blocks of the enhanced image; determining a visual texture loss degree of the enhanced image according to the first proportion information entropies corresponding to the first blocks and the second proportion information entropies corresponding to the second blocks.
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