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公开(公告)号：US10204284B2
公开(公告)日：2019-02-12
申请号：US15666824
申请日：2017-08-02
Applicant: Datalogic IP Tech S.r.l.
Inventor： Francesco D'Ercoli , Marco Cumoli , Claudio Saporetti , Alessandro Franchi
Abstract: Systems, methods, and computer-readable storage media are provided for identifying (recognizing) an object from its shape in a sequence of images utilizing sequence alignment matrices (SAMs). For a given image, an object is segmented and from the segmented object, a set of key points is extracted. From the extracted key points, a set of local feature descriptors, strictly related to the key points and uniquely ordered in sequence, are extracted. The feature sequence obtained from the segmented object is aligned with a counterpart or reference image (e.g., a model or another image) using a Sequence Alignment Matrix (SAM). A custom scoring technique for the alignment provides a quality index for the identification of the object.
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2.发明授权公开(公告)号：US11941863B2
公开(公告)日：2024-03-26
申请号：US17394358
申请日：2021-08-04
Applicant: Datalogic IP Tech S.r.l.
Inventor： Roberto Musiani , Alessandro Franchi , Maurizio De Girolami , Angelo Carraggi
CPC classification number: G06V10/751 , G06F18/22 , G06V10/44 , G06V10/74 , G06V30/2504
Abstract: A system and method of detecting an image of a template object in a captured image may include comparing, by a processor, an image model of an imaged template object to multiple locations, rotations, and scales in the captured image. The image model may be defined by multiple model base point sets derived from contours of the imaged template object, where each model base point set inclusive of a plurality of model base points that are positioned at corresponding locations associated with distinctive features of the imaged template object. Each corresponding model base point of the model base point sets may (i) be associated with respective layers and (ii) have an associated gradient vector. A determination may be made as to whether and where the image of the object described by the image model is located in the captured image.
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公开(公告)号：US10410337B2
公开(公告)日：2019-09-10
申请号：US15539330
申请日：2014-12-24
Applicant: Datalogic IP Tech S.R.L.
Inventor： Alessandro Franchi
Abstract: A system and method of inspection may include capturing image data by a stereo imaging device. A determination as to whether noise indicative of a transparent or specular object exists in the image data may be made. A report that a transparent or specular object was captured in the image data may be made.
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公开(公告)号：US20190244021A1
公开(公告)日：2019-08-08
申请号：US16271260
申请日：2019-02-08
Applicant: Datalogic IP Tech S.R.L.
Inventor： Alessandro Franchi , Leonardo Mora
IPC: G06K9/00
CPC classification number: G06K9/00536 , G06K9/00523
Abstract: A system and method for matching a pattern may include generating a set of model descriptors representative of segment features of a first imaged object. A set of query descriptors representative of segment features of a second imaged object may be generated. A first model segment may be selected to align with the query segments to determine if any of the query segments correspond with the first model segment based on respective model descriptors and query descriptors. An hypothesis may be generated by computing a transformation to match the selected first model descriptor with a query descriptor. The hypothesis may be validated by a model fitting algorithm when comparing other transformed model descriptors with other query descriptors. Based on a consensus value from the model fitting algorithm, a determination as to whether a pattern match exists between the first and second images may be made.
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公开(公告)号：US10095951B2
公开(公告)日：2018-10-09
申请号：US15351367
申请日：2016-11-14
Applicant: Datalogic IP Tech S.r.l.
Inventor： Federico Tombari , Alessandro Franchi , Luigi Di Stefano
Abstract: During a description technique, a local descriptor for an object may be generated by computing a 2-dimensional histogram of pairs of angles between pairs of line segments that are aligned with edge pixels associated with the object. The pairs of line segments belong to a subset of k neighboring or proximate line segments. Moreover, this 2D histogram may represent the relative displacement and the relative orientations of the pairs of line segments in the subset as weights in bins or cells defined by angular quantization values, and the 2D histogram may exclude lengths of the line segments. Subsequently, the generated 2D histogram may be compared to predefined sets of descriptors in a model library that are associated with a set of objects, and the object may be identified as one of the set of objects based on a group of match scores determined in the comparisons.
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Patent Agency Ranking
公开(公告)号：US09495607B2
公开(公告)日：2016-11-15
申请号：US14761967
申请日：2013-01-21
Applicant: Datalogic IP Tech S.R.L.
Inventor： Federico Tombari , Alessandro Franchi , Luigi Di Stefano
CPC classification number: G06K9/4633 , G06K9/3241 , G06K9/3275 , G06K9/4642 , G06K9/48 , G06K9/6204
Abstract: During a description technique (100), a local descriptor for an object (300) is generated (122) by computing a 2-dimensional histogram (600) of pairs of angles (514, 516) between pairs of line segments (510, 512) that are aligned with edge pixels associated with the object (300). The pairs of line segments (510, 512) belong to a subset of k neighboring or proximate line segments (310). Moreover, this 2D histogram (600) may represent the relative displacement and the relative orientations of the pairs of line segments (510, 512) in the subset as weights in bins or cells defined by angular quantization values, and the 2D histogram (600 may exclude lengths of the line segments. Subsequently, the generated 2D histogram (600) may be compared (210) to predefined sets of descriptors in a model library that are associated with a set of objects, and the object may be identified (212) as one of the set of objects based on a group of match scores determined in the comparisons.
Abstract translation: 在描述技术（100）期间，通过计算成对的线段（510,512）之间的成对角（514,516）的二维直方图（600）来生成对象（300）的局部描述符（122） ），其与与对象（300）相关联的边缘像素对齐。 线段对（510,512）属于k个相邻或邻近的线段（310）的子集。 此外，该2D直方图（600）可以表示子集中的线段对（510,512）的相对位移和相对取向，作为由角度量化值定义的小区或小区中的权重，并且2D直方图（600可以 随后，可以将所生成的2D直方图（600）（210）与与一组对象相关联的模型库中的预定义描述符集进行比较（210），并且可以将对象识别（212）为 基于在比较中确定的一组匹配得分的一组对象中的一个。
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7.发明申请公开(公告)号：US20230038286A1
公开(公告)日：2023-02-09
申请号：US17394358
申请日：2021-08-04
Applicant: Datalogic IP Tech S.r.l.
Inventor： Roberto Musiani , Alessandro Franchi , Maurizio De Girolami , Angelo Carraggi
Abstract: A system and method of detecting an image of a template object in a captured image may include comparing, by a processor, an image model of an imaged template object to multiple locations, rotations, and scales in the captured image. The image model may be defined by multiple model base point sets derived from contours of the imaged template object, where each model base point set inclusive of a plurality of model base points that are positioned at corresponding locations associated with distinctive features of the imaged template object. Each corresponding model base point of the model base point sets may (i) be associated with respective layers and (ii) have an associated gradient vector. A determination may be made as to whether and where the image of the object described by the image model is located in the captured image.
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公开(公告)号：US11113522B2
公开(公告)日：2021-09-07
申请号：US16271260
申请日：2019-02-08
Applicant: Datalogic IP Tech S.R.L.
Inventor： Alessandro Franchi , Leonardo Mora
Abstract: A system and method for matching a pattern may include generating a set of model descriptors representative of segment features of a first imaged object. A set of query descriptors representative of segment features of a second imaged object may be generated. A first model segment may be selected to align with the query segments to determine if any of the query segments correspond with the first model segment based on respective model descriptors and query descriptors. An hypothesis may be generated by computing a transformation to match the selected first model descriptor with a query descriptor. The hypothesis may be validated by a model fitting algorithm when comparing other transformed model descriptors with other query descriptors. Based on a consensus value from the model fitting algorithm, a determination as to whether a pattern match exists between the first and second images may be made.
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9.发明授权公开(公告)号：US10297020B2
公开(公告)日：2019-05-21
申请号：US14858990
申请日：2015-09-18
Applicant: Datalogic IP Tech, S.r.l.
Inventor： Ivar Keulers , Domenico Pozzetti , Alessandro Franchi
IPC: G06T7/00 , H04N13/239 , H04N13/271 , H04N13/128 , H04N5/225
Abstract: A system and method may include determining a presence or absence of cigarettes in a set of cigarettes being processed by a cigarette packer machine by using at least one of a first image or a second image inclusive of the cigarettes in the set of cigarettes. A stereographic image may be produced using the first and second images. Determine level of tobacco of each cigarette of the set of cigarettes by using the first and second images. Produce a report in response to determining that a cigarette is not present or that a level of tobacco of a cigarette is outside of a specified level of tobacco of a cigarette.
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公开(公告)号：US20180157931A1
公开(公告)日：2018-06-07
申请号：US15666824
申请日：2017-08-02
Applicant: Datalogic IP Tech S.r.l.
Inventor： Francesco D'Ercoli , Marco Cumoli , Claudio Saporetti , Alessandro Franchi
CPC classification number: G06K9/4671 , G06K9/50 , G06K9/6211
Abstract: Systems, methods, and computer-readable storage media are provided for identifying (recognizing) an object from its shape in a sequence of images utilizing sequence alignment matrices (SAMs). For a given image, an object is segmented and from the segmented object, a set of key points is extracted. From the extracted key points, a set of local feature descriptors, strictly related to the key points and uniquely ordered in sequence, are extracted. The feature sequence obtained from the segmented object is aligned with a counterpart or reference image (e.g., a model or another image) using a Sequence Alignment Matrix (SAM). A custom scoring technique for the alignment provides a quality index for the identification of the object.
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