公开(公告)号：US20150001295A1

公开(公告)日：2015-01-01

申请号：US14488179

申请日：2014-09-16

Applicant: eBay Inc.

Inventor： Jeffrey Roger Powers ,  Vikas Muppiddi Reddy

IPC: G06K5/00 ,  G06K7/10

CPC classification number: G06K7/1473 ,  G06K5/00 ,  G06K7/10821 ,  G06K7/14 ,  G06K7/1413 ,  G06K7/1443 ,  G06K7/1447 ,  G06K7/1478

Abstract: In a system and method of estimating and classifying a barcode using heuristic and statistical measures, a classification determination is generated for each of a plurality of estimated barcode digits that correspond to a decoded barcode estimation. The classification determination is selected from one of a first classification determination and a second classification determination. The first classification determinations among a plurality of estimation determinations are aggregated. The aggregated first classification determinations are compared to a first predetermined threshold to determine a validity of the decoded barcode estimation.

Abstract translation: 在使用启发式和统计测量来估计和分类条形码的系统和方法中，针对对应于解码的条形码估计的多个估计条形码数字中的每一个生成分类确定。 分类确定从第一分类确定和第二分类确定之一中选择。 聚合多个估计确定中的第一分类确定。 将聚合的第一分类确定与第一预定阈值进行比较，以确定解码的条形码估计的有效性。

公开(公告)号：US20150001296A1

公开(公告)日：2015-01-01

申请号：US14488191

申请日：2014-09-16

Applicant: eBay Inc.

Inventor： Jeffrey Roger Powers ,  Vikas Muppiddi Reddy

IPC: G06K7/14

CPC classification number: G06K7/1473 ,  G06K5/00 ,  G06K7/10821 ,  G06K7/14 ,  G06K7/1413 ,  G06K7/1443 ,  G06K7/1447 ,  G06K7/1478

Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.

公开(公告)号：US09117131B2

公开(公告)日：2015-08-25

申请号：US14488191

申请日：2014-09-16

Applicant: eBay Inc.

Inventor： Jeffrey Roger Powers ,  Vikas Muppiddi Reddy

IPC: G06K7/10 ,  G06K7/14 ,  G06K5/00

CPC classification number: G06K7/1473 ,  G06K5/00 ,  G06K7/10821 ,  G06K7/14 ,  G06K7/1413 ,  G06K7/1443 ,  G06K7/1447 ,  G06K7/1478

Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.

Abstract translation: 在从视频帧流识别条形码的系统和方法中，处理器实现的相机模块接收包含条形码的至少一个视频帧的视频帧流。 处理器实现的条形码模糊估计模块估计视频帧中的散焦模糊量。 处理器实现的条形码模糊估计模块进一步估计条形码的身份。 处理器实现的条形码定位模块识别包含条形码的视频帧的区域。 处理器实现的条形码几何建模器模块生成包括识别的条形码畸形的条形码的几何模型。 处理器实现的条形码解码器模块使用估计的散焦模糊量，条形码的估计身份和条形码的几何模型来从视频帧解码条形码。

公开(公告)号：US11055505B2

公开(公告)日：2021-07-06

申请号：US16538304

申请日：2019-08-12

Applicant: eBay Inc.

Inventor： Jeffrey Roger Powers ,  Vikas Muppiddi Reddy

IPC: G06K7/10 ,  G06K7/14 ,  G06K5/00

Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.

公开(公告)号：US20150363628A1

公开(公告)日：2015-12-17

申请号：US14833184

申请日：2015-08-24

Applicant: eBay Inc.

Inventor： Jeffrey Roger Powers ,  Vikas Muppiddi Reddy

IPC: G06K7/14

CPC classification number: G06K7/1473 ,  G06K5/00 ,  G06K7/10821 ,  G06K7/14 ,  G06K7/1413 ,  G06K7/1443 ,  G06K7/1447 ,  G06K7/1478

Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.

公开(公告)号：US10410030B2

公开(公告)日：2019-09-10

申请号：US14833184

申请日：2015-08-24

Applicant: eBay Inc.

Inventor： Jeffrey Roger Powers ,  Vikas Muppiddi Reddy

IPC: G06K7/10 ,  G06K7/14 ,  G06K5/00

Abstract: In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.

公开(公告)号：US09275264B2

公开(公告)日：2016-03-01

申请号：US14488179

申请日：2014-09-16

Applicant: eBay Inc.

Inventor： Jeffrey Roger Powers ,  Vikas Muppiddi Reddy

IPC: G06K7/10 ,  G06K7/14 ,  G06K5/00

CPC classification number: G06K7/1473 ,  G06K5/00 ,  G06K7/10821 ,  G06K7/14 ,  G06K7/1413 ,  G06K7/1443 ,  G06K7/1447 ,  G06K7/1478

Abstract: In a system and method of estimating and classifying a barcode using heuristic and statistical measures, a classification determination is generated for each of a plurality of estimated barcode digits that correspond to a decoded barcode estimation. The classification determination is selected from one of a first classification determination and a second classification determination. The first classification determinations among a plurality of estimation determinations are aggregated. The aggregated first classification determinations are compared to a first predetermined threshold to determine a validity of the decoded barcode estimation.

Abstract translation: 在使用启发式和统计测量来估计和分类条形码的系统和方法中，针对对应于解码的条形码估计的多个估计条形码数字中的每一个生成分类确定。 分类确定从第一分类确定和第二分类确定之一中选择。 聚合多个估计确定中的第一分类确定。 将聚合的第一分类确定与第一预定阈值进行比较，以确定解码的条形码估计的有效性。