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    Candidate list generation
    1.
    发明授权
    Candidate list generation 有权

    公开(公告)号：US09875548B2

    公开(公告)日：2018-01-23

    申请号：US14975658

    申请日：2015-12-18

    Applicant: Sri Kaushik Pavani ,  Anshul Garg ,  Bharathi Shekar

    Inventor： Sri Kaushik Pavani ,  Anshul Garg ,  Bharathi Shekar

    IPC: G06T7/00 ,  G06T1/00

    CPC classification number: G06F17/30244 ,  G06K9/3233 ,  G06K9/68 ,  G06T1/0007

    Abstract: A system and method that generates a candidate list of indexed images that potentially match an object in a query image is disclosed. The method includes receiving a query image including an object, receiving a plurality of indexed images that match the object, computing a region of interest for the object, computing an overlap between a first region of interest corresponding to a first indexed image and a second region of interest corresponding to a second indexed image, determining that the overlap between the first region of interest and the second region of interest satisfies a threshold and including the first indexed image and the second indexed image in a candidate list of indexed images.

    Index image quality metric
    2.
    发明授权
    Index image quality metric 有权

    公开(公告)号：US09754237B2

    公开(公告)日：2017-09-05

    申请号：US14975655

    申请日：2015-12-18

    Applicant: Srikrishna Bhat ,  Sri Kaushik Pavani ,  Anshul Garg

    Inventor： Srikrishna Bhat ,  Sri Kaushik Pavani ,  Anshul Garg

    IPC: G06K9/00 ,  G06Q10/08 ,  G06T7/20

    CPC classification number: G06Q10/087 ,  G06T7/0002 ,  G06T7/20 ,  G06T2207/30168

    Abstract: A system and method that computes a quality score for an index image is disclosed. The method includes receiving an index image, computing a blurriness score of the index image based on variance associated with the index image, computing an image resolution score of the index image based on an area of the index image and a threshold area, computing a feature spread score for the index image using a first plurality of features associated with the index image, computing a feature uniqueness score for the index image using a description associated with each of a second plurality of features and determining a quality score for the index image using the blurriness score, the image resolution score, the feature spread score, and the feature uniqueness score.

    Candidate List Generation
    3.
    发明申请
    Candidate List Generation 有权

    公开(公告)号：US20170178335A1

    公开(公告)日：2017-06-22

    申请号：US14975658

    申请日：2015-12-18

    Applicant: Sri Kaushik Pavani ,  Anshul Garg ,  Bharathi Shekar

    Inventor： Sri Kaushik Pavani ,  Anshul Garg ,  Bharathi Shekar

    IPC: G06T7/00 ,  G06T1/00

    CPC classification number: G06F17/30244 ,  G06K9/3233 ,  G06K9/68 ,  G06T1/0007

    Abstract: A system and method that generates a candidate list of indexed images that potentially match an object in a query image is disclosed. The method includes receiving a query image including an object, receiving a plurality of indexed images that match the object, computing a region of interest for the object, computing an overlap between a first region of interest corresponding to a first indexed image and a second region of interest corresponding to a second indexed image, determining that the overlap between the first region of interest and the second region of interest satisfies a threshold and including the first indexed image and the second indexed image in a candidate list of indexed images.

    Recognition procedure for identifying multiple items in images
    4.
    发明授权
    Recognition procedure for identifying multiple items in images 有权
    用于识别图像中的多个项目的识别程序

    公开(公告)号：US09317775B2

    公开(公告)日：2016-04-19

    申请号：US13967294

    申请日：2013-08-14

    Applicant: Jorge Moraleda ,  Sri Kaushik Pavani ,  Anshul Garg

    Inventor： Jorge Moraleda ,  Sri Kaushik Pavani ,  Anshul Garg

    IPC: G06K9/62 ,  G06K9/00 ,  G06K9/46

    CPC classification number: G06K9/6202 ,  G06K9/00624 ,  G06K9/4619 ,  G06K9/6263

    Abstract: The disclosure includes a system and method for identifying multiple items in an image. A image recognition application receives a query image of items, computes features of the query image, for each feature finds an indexed image with closest matched features in a database, determines that the shape of the matched features is geometrically consistent, determines whether the query image matches the indexed image, responsive to the query image matching the indexed image, returns inliers, determines a region of interest where the match was found in the query image, removes inliers from the set of features to reduce the set of features and returns all matches found when the query image fails to match the indexed image.

    Abstract translation: 本公开包括用于识别图像中的多个项目的系统和方法。 图像识别应用程序接收项目的查询图像，计算查询图像的特征，每个特征查找数据库中具有最匹配特征的索引图像，确定匹配特征的形状在几何上是一致的，确定查询图像 与索引的图像匹配，响应于与索引图像匹配的查询图像，返回内联值，确定在查询图像中找到匹配的感兴趣区域，从特征集中删除内联以减少特征集并返回所有匹配 当查询图像无法匹配索引图像时发现。

    Index Image Quality Metric
    5.
    发明申请
    Index Image Quality Metric 有权

    公开(公告)号：US20170178058A1

    公开(公告)日：2017-06-22

    申请号：US14975655

    申请日：2015-12-18

    Applicant: Srikrishna Bhat ,  Sri Kaushik Pavani ,  Anshul Garg

    Inventor： Srikrishna Bhat ,  Sri Kaushik Pavani ,  Anshul Garg

    IPC: G06Q10/08 ,  G06T7/20

    CPC classification number: G06Q10/087 ,  G06T7/0002 ,  G06T7/20 ,  G06T2207/30168

    Abstract: A system and method that computes a quality score for an index image is disclosed. The method includes receiving an index image, computing a blurriness score of the index image based on variance associated with the index image, computing an image resolution score of the index image based on an area of the index image and a threshold area, computing a feature spread score for the index image using a first plurality of features associated with the index image, computing a feature uniqueness score for the index image using a description associated with each of a second plurality of features and determining a quality score for the index image using the blurriness score, the image resolution score, the feature spread score, and the feature uniqueness score.

    Distinguishing Between Stock Keeping Units Using Marker Based Methodology
    6.
    发明申请
    Distinguishing Between Stock Keeping Units Using Marker Based Methodology 审中-公开
    使用基于标记的方法区分库存单位

    公开(公告)号：US20160253794A1

    公开(公告)日：2016-09-01

    申请号：US15152812

    申请日：2016-05-12

    Applicant: Bharathi Shekar ,  Sri Kaushik Pavani ,  Anshul Garg

    Inventor： Bharathi Shekar ,  Sri Kaushik Pavani ,  Anshul Garg

    IPC: G06T7/00 ,  G06K9/52 ,  G06Q10/08 ,  G06T7/60

    CPC classification number: G06T7/001 ,  G06K9/00 ,  G06K9/2063 ,  G06K9/46 ,  G06K9/52 ,  G06K9/6201 ,  G06K9/72 ,  G06K2009/4666 ,  G06K2009/6213 ,  G06K2209/17 ,  G06Q10/087 ,  G06T7/0008 ,  G06T7/10 ,  G06T7/194 ,  G06T7/60 ,  G06T2207/30108 ,  G06T2207/30128 ,  G06T2207/30204

    Abstract: The disclosure includes a system and method for distinguishing between stock keeping units of similar appearance that vary in size. An image recognition application receives an image depicting a plurality of items, the image including a reference marker with a known physical dimension. The image recognition application performs image recognition to identify an item in the image and a region of interest for the identified image. The image recognition application further determines a pixel-to-physical dimension ratio using the dimension of a region of interest of the reference marker and the known physical dimension of the reference marker. Finally, the image recognition application determines a stock keeping unit identifier of the identified item in the image based on the pixel-to-physical dimension ratio and a dimension of the region of interest of the identified item.

    Abstract translation: 本公开内容包括用于区分大小不同的类似外观的库存单元的系统和方法。 图像识别应用程序接收描绘多个项目的图像，该图像包括具有已知物理尺寸的参考标记。 图像识别应用执行图像识别以识别图像中的项目和所识别的图像的感兴趣区域。 图像识别应用还使用参考标记的感兴趣区域的尺寸和参考标记的已知物理尺寸来确定像素对物理尺寸比。 最后，图像识别应用基于像素对物理维度比率和所识别项目的感兴趣区域的维度来确定图像中所识别项目的库存单位标识符。

    Three-Dimensional Indexing Protocol
    7.
    发明申请
    Three-Dimensional Indexing Protocol 有权
    三维索引协议

    公开(公告)号：US20150052027A1

    公开(公告)日：2015-02-19

    申请号：US13967288

    申请日：2013-08-14

    Applicant: Sri Kaushik Pavani ,  Anshul Garg

    Inventor： Sri Kaushik Pavani ,  Anshul Garg

    IPC: G06Q10/08 ,  G06F17/30

    CPC classification number: G06Q10/087 ,  G06F17/30259 ,  G06K9/4647 ,  G06K9/6201 ,  G06Q40/12 ,  G06T7/0004

    Abstract: The disclosure includes a system and method for indexing synthetically modified images of a high quality image. An image recognition application receives images of a product, crops background regions from the images, scales the image based on a minimum value among width and height of the image and generates multiple image sizes, blurs the images, brightens the image and indexes the images as being associated with the product. The images can be of box-shaped packages that include four or six images or cylindrical packages that include, for example, eight images of the packages. The images can be indexed in a k-dimensional tree for faster retrieval.

    Abstract translation: 本公开包括用于索引高质量图像的合成修改图像的系统和方法。 图像识别应用程序接收产品的图像，从图像中拍摄背景区域，根据图像的宽度和高度之间的最小值对图像进行缩放，并生成多个图像大小，模糊图像，使图像亮起并对图像进行索引 与产品相关联。 图像可以是盒形包装，其包括四个或六个图像或圆柱形包装，其包括例如包装的八个图像。 可以将图像索引到k维树中以更快地检索。

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