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公开(公告)号：US20230091313A1
公开(公告)日：2023-03-23
申请号：US17481155
申请日：2021-09-21
IPC分类号： H04N13/111 , H04N13/243 , H04N13/156 , H04N13/128 , G06K9/00 , G06T3/40 , G06T7/593
摘要： Systems and techniques are described for processing image data to generate an image with a synthetic depth of field (DoF). An imaging system receives first image data of a scene captured by a first image sensor. The imaging system receives second image data of the scene captured by a second image sensor. The first image sensor is offset from the second image sensor by an offset distance. The imaging system generates, using at least the first image data and the second image data as inputs to one or more trained machine learning systems, an image having a synthetic depth of field corresponding to a simulated aperture size. The simulated aperture size is associated with the offset distance. The imaging system outputs the image.
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公开(公告)号：US20230062187A1
公开(公告)日：2023-03-02
申请号：US17412113
申请日：2021-08-25
摘要： Systems, methods, and non-transitory media are provided for predictive camera initialization. An example method can include obtain, from a first image capture device, image data depicting a scene; classify the scene based on the image data; based on the classification of the scene, predict a camera use event; and based on the predicted camera use event, adjust a power mode of at least one of the first image capture device and a second image capture device.
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公开(公告)号：US20220083636A1
公开(公告)日：2022-03-17
申请号：US17024498
申请日：2020-09-17
摘要： Techniques and systems are provided for processing one or more images. For example, a process can obtain a plurality of images captured during a session. The plurality of images include a current image of a current face. The process can extract features of the current face from the current image. The process can compare the extracted features of the current face to extracted features of a previous face from a previous image of the plurality of images captured during the session. The process can determine, based on comparing the extracted features of the current face to the extracted features of the previous face, whether the current face from the current image matches the previous face from the previous image. The process can determine whether to lock access to a computing device based on whether the current face from the current image matches the previous face from the previous image.
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公开(公告)号：US20240119721A1
公开(公告)日：2024-04-11
申请号：US18476033
申请日：2023-09-27
CPC分类号： G06V10/82 , G06V10/7715 , G06V10/806
摘要： Systems and techniques are described herein for processing data (e.g., image data) using convolution as a transformer (CAT) operations. The method includes receiving, at a convolution engine of a machine learning system, a first set of features, the first set of features being associated with an image and having a three-dimensional shape, applying, via the convolution engine, a depth-wise separable convolutional filter to the first set of features to generate a first output, applying, via the convolution engine, a pointwise convolutional filter to the first output to generate a second output based on global information from a spatial dimension and a channel dimension associated with the image, modifying the second output to the three-dimensional shape to generate a second set of features and combining the first set of features and the second set of features to generate an output set of features.
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公开(公告)号：US20220394171A1
公开(公告)日：2022-12-08
申请号：US17337303
申请日：2021-06-02
摘要： Systems, methods, and computer-readable media are provided for low power, variable focus. An example method can include obtaining, based on a trigger, a first image of a scene captured by an image sensor, the first image being captured with a lens of the image sensor in a first configuration of a plurality of available lens configurations; determining, based on the first image and a first detection result, whether an object of interest is present in the first image; in response to determining that the object of interest is not present in the first image, adjusting the lens to a second configuration selected from the plurality of lens configurations; obtaining, by the image sensor, a second image of the scene while the lens is in the second configuration; and determining, based on the second image and a second detection result, that the object of interest is present in the second image.
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公开(公告)号：US20220101133A1
公开(公告)日：2022-03-31
申请号：US17488261
申请日：2021-09-28
摘要： A method performed by a deep neural network (DNN) includes receiving, at a layer of the DNN during an inference stage, a layer input comprising content associated with a DNN input received at the DNN. The method also includes quantizing one or more parameters of a plurality of parameters associated with the layer based on the content of the layer input. The method further includes performing a task corresponding to the DNN input, the task performed with the one or more one quantized parameters.
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公开(公告)号：US20240098357A1
公开(公告)日：2024-03-21
申请号：US18523774
申请日：2023-11-29
摘要： Systems, methods, and non-transitory media are provided for predictive camera initialization. An example method can include obtain, from a first image capture device, image data depicting a scene; classify the scene based on the image data; based on the classification of the scene, predict a camera use event; and based on the predicted camera use event, adjust a power mode of at least one of the first image capture device and a second image capture device.
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公开(公告)号：US20240078679A1
公开(公告)日：2024-03-07
申请号：US17901429
申请日：2022-09-01
发明人： Chung-Chi TSAI , Shubhankar Mangesh BORSE , Meng-Lin WU , Venkata Ravi Kiran DAYANA , Fatih Murat PORIKLI , An CHEN
CPC分类号： G06T7/11 , G06T7/74 , G06T2207/20112
摘要： Methods, systems, and apparatuses for image segmentation are provided. For example, a computing device may obtain an image, and may apply a process to the image to generate input image feature data and input image segmentation data. Further, the computing device may obtain reference image feature data and reference image classification data for a plurality of reference images. The computing device may generate reference image segmentation data based on the reference image feature data, the reference image classification data, and the input image feature data. The computing device may further blend the input image segmentation data and the reference image segmentation data to generate blended image segmentation data. The computing device may store the blended image segmentation data within a data repository. In some examples, the computing device provides the blended image segmentation data for display.
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公开(公告)号：US20240007760A1
公开(公告)日：2024-01-04
申请号：US18467563
申请日：2023-09-14
发明人： Wesley James HOLLAND , Micha GALOR GLUSKIN , Venkata Ravi Kiran DAYANA , Upal MAHBUB , Scott BARKER
IPC分类号： H04N23/951 , H04N23/68 , G06T3/40
CPC分类号： H04N23/951 , H04N23/6815 , H04N23/6812 , G06T3/4053 , H04N23/6811
摘要： Systems and techniques are provided for processing one or more frames. For example, a process can include obtaining a first plurality of frames associated with a first settings domain from an image capture system, wherein the first plurality of frames is captured prior to obtaining a capture input. The process can include obtaining a reference frame associated with a second settings domain from the image capture system, wherein the reference frame is captured proximate to obtaining the capture input. The process can include obtaining a second plurality of frames associated with the second settings domain from the image capture system, wherein the second plurality of frames is captured after the reference frame. The process can include, based on the reference frame, transforming at least a portion of the first plurality of frames to generate a transformed plurality of frames associated with the second settings domain.
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公开(公告)号：US20170111588A1
公开(公告)日：2017-04-20
申请号：US14882746
申请日：2015-10-14
CPC分类号： H04N5/23296 , H04N5/23212 , H04N5/23293 , H04N5/2628
摘要： Devices and methods for capturing images are described herein. A processor may be configured to capture a first image. The processor may further be configured to determine a distance between a lens and an image sensor of the image capture device for capturing the first image. The processor may further be configured to determine a portion of the image sensor to use for the first image based on the determined distance in order to maintain a constant field of view for one or more images captured by the image capture device. The processor may further be configured to adjust the portion of the image sensor used for the first image based on the determined portion of the image sensor to generate an adjusted first image.
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