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公开(公告)号：US12003871B2
公开(公告)日：2024-06-04
申请号：US18123269
申请日：2023-03-18
Applicant: Imagination Technologies Limited
Inventor： Timothy Smith
CPC classification number: H04N25/46 , G06T7/277 , H04N5/144 , H04N25/50 , G06T2207/20021 , G06T2207/20081
Abstract: Apparatus for binning an input value into an array of bins, each bin representing a range of input values and the bins collectively representing a histogram of input values, the apparatus comprising: an input for receiving the input value; a memory for storing the array; and a binning controller configured to: derive a plurality of bin values from the input value according to a binning distribution located about the input value, the binning distribution spanning a range of input values and each bin value having a respective input value dependent on the position of the bin value in the binning distribution; and allocate the plurality of bin values to a plurality of bins in the array, each bin value being allocated to a bin selected according to the respective input value of the bin value.
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公开(公告)号：US11068703B2
公开(公告)日：2021-07-20
申请号：US16510509
申请日：2019-07-12
Applicant: Imagination Technologies Limited
Inventor： Timothy Smith
Abstract: A data processing device for detecting motion in a sequence of frames each comprising one or more blocks of pixels, includes a sampling unit configured to determine image characteristics at a set of sample points of a block, a feature generation unit configured to form a current feature for the block, the current feature having a plurality of values derived from the sample points, and motion detection logic configured to generate a motion output for a block by comparing the current feature for the block to a learned feature representing historical feature values for the block.
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公开(公告)号：US20210081704A1
公开(公告)日：2021-03-18
申请号：US17108145
申请日：2020-12-01
Applicant: Imagination Technologies Limited
Inventor： Ruan Lakemond , Timothy Smith
Abstract: A method of feature matching in images captured from camera viewpoints uses the epipolar geometry of the viewpoints to define a geometrically-constrained region in a second image corresponding to a first feature in a first image; comparing the local descriptor of the first feature with local descriptors of features in the second image to determine respective measures of similarity; identifying, from the features located in the geometrically-constrained region, (i) a geometric best match and (ii) a geometric next-best match to the first feature; identifying a global best match to the first feature; performing a first comparison of the measures of similarity for the geometric best match and the global best match; performing a second comparison of the measures of similarity for the geometric best match and the geometric next-best match; and, if thresholds are met, selecting the geometric best match feature in the second image.
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公开(公告)号：US20240135139A1
公开(公告)日：2024-04-25
申请号：US18136709
申请日：2023-04-19
Applicant: Imagination Technologies Limited
Inventor： Paul Brasnett , Daniel Valdez Balderas , Cagatay Dikici , Szabolcs Csefalvay , David Hough , Timothy Smith , James Imber
Abstract: Methods and systems for implementing a traditional computer vision algorithm as a neural network. The method includes: receiving a definition of the traditional computer vision algorithm that identifies a sequence of one or more traditional computer vision algorithm operations; mapping each of the one or more traditional computer vision algorithm operations to a set of one or more neural network primitives that is mathematically equivalent to that traditional computer vision algorithm operation; linking the one or more network primitives mapped to each traditional computer vision algorithm operation according to the sequence to form a neural network representing the traditional computer vision algorithm; and configuring hardware logic capable of implementing a neural network to implement the neural network that represents the traditional computer vision algorithm.
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公开(公告)号：US11676288B2
公开(公告)日：2023-06-13
申请号：US17346986
申请日：2021-06-14
Applicant: Imagination Technologies Limited
Inventor： Timothy Smith
CPC classification number: G06T7/246 , G06F18/22 , G06V40/20 , G06T2207/20021 , G06T2207/20081
Abstract: A data processing device for detecting motion in a sequence of frames each comprising one or more blocks of pixels, includes a sampling unit configured to determine image characteristics at a set of sample points of a block, a feature generation unit configured to form a current feature for the block, the current feature having a plurality of values derived from the sample points, and motion detection logic configured to generate a motion output for a block by comparing the current feature for the block to a learned feature representing historical feature values for the block.
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Patent Agency Ranking
公开(公告)号：US10609281B2
公开(公告)日：2020-03-31
申请号：US15939504
申请日：2018-03-29
Applicant: Imagination Technologies Limited
Inventor： Timothy Smith
Abstract: A method of calibrating a camera performs a first calibration for frames of a sequence captured by the camera to calculate for those frames first calibration data for a set of one or more camera parameters; performs, for selected frames of the sequence, a second calibration to calculate second calibration data for the selected frames in dependence on the first calibration data for those frames; and uses the second calibration data in the first calibration performed for subsequent frames of the sequence.
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公开(公告)号：US20190332857A1
公开(公告)日：2019-10-31
申请号：US16510509
申请日：2019-07-12
Applicant: Imagination Technologies Limited
Inventor： Timothy Smith
Abstract: A data processing device for detecting motion in a sequence of frames each comprising one or more blocks of pixels, includes a sampling unit configured to determine image characteristics at a set of sample points of a block, a feature generation unit configured to form a current feature for the block, the current feature having a plurality of values derived from the sample points, and motion detection logic configured to generate a motion output for a block by comparing the current feature for the block to a learned feature representing historical feature values for the block.
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公开(公告)号：US10395102B2
公开(公告)日：2019-08-27
申请号：US15468396
申请日：2017-03-24
Applicant: Imagination Technologies Limited
Inventor： Timothy Smith
Abstract: A data processing device for detecting motion in a sequence of frames each comprising one or more blocks of pixels, includes a sampling unit configured to determine image characteristics at a set of sample points of a block, a feature generation unit configured to form a current feature for the block, the current feature having a plurality of values derived from the sample points, and motion detection logic configured to generate a motion output for a block by comparing the current feature for the block to a learned feature representing historical feature values for the block.
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公开(公告)号：US20170280069A1
公开(公告)日：2017-09-28
申请号：US15468493
申请日：2017-03-24
Applicant: Imagination Technologies Limited
Inventor： Timothy Smith
CPC classification number: H04N5/347 , G06T7/277 , G06T2207/20021 , G06T2207/20081 , H04N5/144 , H04N5/351
Abstract: Apparatus for binning an input value into an array of bins, each bin representing a range of input values and the bins collectively representing a histogram of input values, the apparatus comprising: an input for receiving the input value; a memory for storing the array; and a binning controller configured to: derive a plurality of bin values from the input value according to a binning distribution located about the input value, the binning distribution spanning a range of input values and each bin value having a respective input value dependent on the position of the bin value in the binning distribution; and allocate the plurality of bin values to a plurality of bins in the array, each bin value being allocated to a bin selected according to the respective input value of the bin value.
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公开(公告)号：US12131564B2
公开(公告)日：2024-10-29
申请号：US17751518
申请日：2022-05-23
Applicant: Imagination Technologies Limited
Inventor： Timothy Smith
IPC: G06V10/46 , G06F18/22 , G06V10/426 , G06V10/44 , G06V10/52 , G06V30/24 , H04N19/117 , H04N19/132
CPC classification number: G06V30/2504 , G06F18/22 , G06V10/426 , G06V10/443 , G06V10/46 , G06V10/462 , G06V10/52 , H04N19/117 , H04N19/132 , G06T2207/20016 , G06V10/467
Abstract: A computer-implemented method for generating a feature descriptor for a location in an image for use in performing descriptor matching in analysing the image, the method comprising determining a set of samples characterising a location in an image by sampling scale-space data representative of the image, the scale-space data comprising data representative of the image at a plurality of length scales; and generating a feature descriptor in dependence on the determined set of samples.
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