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公开(公告)号：US20160034913A1
公开(公告)日：2016-02-04
申请号：US14447600
申请日：2014-07-30
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Masoud Zavarehi , Matthew D. Gaubatz , Shameed Sait M A
CPC classification number: G06Q30/0185
Abstract: Examples disclosed herein provide methods for selecting a frame from a set of frames. One example method includes obtaining a set of frames and, for each frame from the set of frames, determining whether frame meets a quality condition. The example method further includes assigning a quality score for each frame from the set of frames, and selecting a frame from the set of frames, where the selected frame has a higher quality score than other frames from the set of frames.
Abstract translation: 本文公开的示例提供了用于从一组帧中选择帧的方法。 一个示例性方法包括获得一组帧，并且对于来自该组帧的每个帧，确定帧是否满足质量条件。 该示例方法还包括从该组帧分配每个帧的质量分数，以及从该组帧中选择一帧，其中所选择的帧具有比来自该组帧的其它帧更高的质量分数。
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公开(公告)号：US20220398769A1
公开(公告)日：2022-12-15
申请号：US17770071
申请日：2019-10-31
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Stephen Pollard , Robert Ulichney , Matthew D. Gaubatz
Abstract: In some examples, a method for recovering an alignment grid comprising multiple fiducial dots, the alignment grid for resolving multiple data dots, comprises determining a respective local structure within a local region around each fiducial dot and each data dot, and generating a connected subset of local structures to form a candidate alignment grid.
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公开(公告)号：US20220189101A1
公开(公告)日：2022-06-16
申请号：US17415138
申请日：2019-08-16
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Robert Ulichney , Matthew D. Gaubatz
Abstract: Examples of methods for three-dimensional object marking are described herein. In some examples, a method may include determining a set of volumes based on a one-dimensional (1D) barcode. In some examples, the method may include overlapping the set of volumes with a voxel representation of a three-dimensional (3D) object. In some examples, the method may include marking voxels of the 3D object that are within the set of volumes.
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Patent Agency Ranking
公开(公告)号：US11113592B2
公开(公告)日：2021-09-07
申请号：US16471252
申请日：2017-04-18
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Robert Ulichney , Matthew D. Gaubatz , Stephen Pollard
IPC: G06K19/06
Abstract: A data-bearing medium is disclosed. The data-bearing medium includes a section of cells having a set of opposite-shifted clusters. The cells include a combination of opposite shifts of the set of opposite-shifted clusters, which represent a single value.
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公开(公告)号：US11102376B2
公开(公告)日：2021-08-24
申请号：US16458479
申请日：2019-07-01
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor： Robert Ulichney , Matthew D. Gaubatz , Stephen Pollard
Abstract: An example system in accordance with an aspect of the present disclosure includes a halftone engine and a gray value engine. The halftone engine is to apply halftoning to an image recursively across a plurality of levels of image scales and spatial resolutions, to generate a pattern that is at least quasi-periodic across the plurality of levels. The gray value engine is to substitute gray values recursively for at least a portion of the halftoning.
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公开(公告)号：US20200211145A1
公开(公告)日：2020-07-02
申请号：US16816603
申请日：2020-03-12
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Steven J. Simske , Robert Ulichney , Matthew D. Gaubatz
Abstract: An example method is described in which a processor receives a first plurality of symbols selected from a first set of symbols, translates the first plurality of symbols into a second plurality of symbols selected from an M-ary cyclic symbol set, and writes the second plurality of symbols to a surface. An additional example method is described in which a processor captures an image of at least a portion of a surface, detects a first plurality of symbols from the image, where the first plurality of symbols comprises symbols selected from an M-ary cyclic symbol set, translates the first plurality of symbols into a second plurality of symbols selected from a second set of symbols, and performs at least one task responsive to the second plurality of symbols.
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公开(公告)号：US20170132800A1
公开(公告)日：2017-05-11
申请号：US15300074
申请日：2014-03-28
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Robert Ulichney , Matthew D. Gaubatz , Stephen Pollard
CPC classification number: G06T7/42 , G06K9/522 , G06K9/6202 , G06T7/11 , G06T2207/20056
Abstract: Examples disclosed herein relate to determining the presence of quasi-periodic two-dimensional object. In one implementation, a processor determines peak points of a DFT of an image where the peak points are points with a value above a threshold relative to surrounding points. The processor may then output information indicating the existence of a quasi-periodic two-dimensional object within the image based on the peak points.
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公开(公告)号：US20140241618A1
公开(公告)日：2014-08-28
申请号：US13780330
申请日：2013-02-28
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor： Steven J. Simske , Malgorzata M. Sturgill , Matthew D. Gaubatz , Paul S. Everest , Masoud Zaverehi
IPC: G06K9/62
CPC classification number: G06K9/6292 , G06K9/6262
Abstract: Examples disclosed herein relate to combining region based image classifiers. In one implementation, a processor measures correct classification and misclassification levels associated with a first image classifier related to a first image feature region and measures correct classification and misclassification levels associated with a second image classifier related to a second image feature region. The processor may create a combined classifier based on the first image classifier correct classification and misclassification levels and based on the second image classifier correct classification and misclassification levels such that the combined classifier is related to the first image feature region and the second image feature region.
Abstract translation: 本文公开的示例涉及组合基于区域的图像分类器。 在一个实现中，处理器测量与与第一图像特征区域相关的第一图像分类器相关联的正确分类和错误分类级别，并且测量与与第二图像特征区域相关的第二图像分类器相关联的正确分类和错误分类级别。 处理器可以基于第一图像分类器正确分类和错误分类级别并且基于第二图像分类器正确分类和错误分类级别来创建组合分类器，使得组合分类器与第一图像特征区域和第二图像特征区域相关。
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