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公开(公告)号：US09875548B2
公开(公告)日：2018-01-23
申请号：US14975658
申请日：2015-12-18
申请人： Sri Kaushik Pavani , Anshul Garg , Bharathi Shekar
发明人： Sri Kaushik Pavani , Anshul Garg , Bharathi Shekar
CPC分类号： G06F17/30244 , G06K9/3233 , G06K9/68 , G06T1/0007
摘要： 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.
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公开(公告)号：US20170178335A1
公开(公告)日：2017-06-22
申请号：US14975658
申请日：2015-12-18
申请人： Sri Kaushik Pavani , Anshul Garg , Bharathi Shekar
发明人： Sri Kaushik Pavani , Anshul Garg , Bharathi Shekar
CPC分类号： G06F17/30244 , G06K9/3233 , G06K9/68 , G06T1/0007
摘要： 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.
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公开(公告)号：US09619899B2
公开(公告)日：2017-04-11
申请号：US14582046
申请日：2014-12-23
CPC分类号： G06T7/11 , G06K9/00771 , G06K9/6215 , G06K9/6292 , G06Q10/087 , G06T7/62
摘要： The disclosure includes a system and method for distinguishing between items of similar appearance that vary in size. An image recognition application receives an image including a plurality of items, identifies each item in the image, generates a region of interest for each identified item in the image, determines a dimension of the region of interest for each identified item in pixels, determines a plurality of pixel-to-physical dimension ratios for each identified item, identifies a selected pixel-to-physical dimension ratio among the plurality of pixel-to-physical dimension ratios, and determines a stock keeping unit identifier of each identified item in the image based on the selected pixel-to-physical dimension ratio and the dimension of the region of interest for each identified item.
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公开(公告)号：US20160180549A1
公开(公告)日：2016-06-23
申请号：US14582046
申请日：2014-12-23
CPC分类号： G06T7/11 , G06K9/00771 , G06K9/6215 , G06K9/6292 , G06Q10/087 , G06T7/62
摘要： The disclosure includes a system and method for distinguishing between items of similar appearance that vary in size. An image recognition application receives an image including a plurality of items, identifies each item in the image, generates a region of interest for each identified item in the image, determines a dimension of the region of interest for each identified item in pixels, determines a plurality of pixel-to-physical dimension ratios for each identified item, identifies a selected pixel-to-physical dimension ratio among the plurality of pixel-to-physical dimension ratios, and determines a stock keeping unit identifier of each identified item in the image based on the selected pixel-to-physical dimension ratio and the dimension of the region of interest for each identified item.
摘要翻译： 本公开包括用于区分大小不同的类似外观的项目的系统和方法。 图像识别应用接收包括多个项目的图像，识别图像中的每个项目，为图像中的每个识别的项目生成感兴趣的区域，以像素为单位确定每个识别的项目的感兴趣区域的维度，确定 针对每个识别的项目的多个像素对物理维度比率，识别多个像素对物理维度比率之间的所选择的像素与物理维度比率，并确定图像中每个识别项目的库存单位标识符 基于所选择的像素对物理维度比率和每个识别项目的感兴趣区域的维度。
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公开(公告)号：US20160180533A1
公开(公告)日：2016-06-23
申请号：US14582030
申请日：2014-12-23
申请人： Sri Kaushik Pavani , Anshul Garg , Bharathi Shekar
发明人： Sri Kaushik Pavani , Anshul Garg , Bharathi Shekar
CPC分类号： G06T7/74 , G06K9/00624 , G06K9/3233 , G06K9/46 , G06Q10/087 , G06T2207/20021
摘要： A method for sequencing products on a retail shelf, or other objects, recognized in an image of the retail shelf includes detecting products in the received image and calculating a final sequence position for each detected product. The final sequence position is calculated by generating a region of interest for each detected product in the received image, generating a plurality of unique raster numbers for each region of interest using a raster number equation by varying parameters of the raster number equation based on pixel coordinates of each region of interest, determining a plurality of sequence positions for each region of interest using the plurality of unique raster numbers, and determining the final sequence position for each region of interest using the plurality of sequence positions for each region of interest. The disclosure also includes systems for implementing the method.
摘要翻译： 在零售货架的图像中识别的零售货架或其他对象上的商品的方法包括检测接收到的图像中的产品并计算每个检测到的产品的最终序列位置。 通过对接收到的图像中的每个检测到的产品生成感兴趣的区域来计算最终序列位置，使用光栅数等式通过基于像素坐标改变光栅数等式的参数来生成每个感兴趣区域的多个唯一光栅号 使用所述多个唯一光栅号确定每个感兴趣区域的多个序列位置，以及使用所述感兴趣区域的所述多个序列位置来确定每个感兴趣区域的最终序列位置。 本公开还包括用于实现该方法的系统。
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6.发明申请公开(公告)号：US20160253794A1
公开(公告)日：2016-09-01
申请号：US15152812
申请日：2016-05-12
申请人： Bharathi Shekar , Sri Kaushik Pavani , Anshul Garg
发明人： Bharathi Shekar , Sri Kaushik Pavani , Anshul Garg
CPC分类号： 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
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US09569851B2
公开(公告)日：2017-02-14
申请号：US14582030
申请日：2014-12-23
申请人： Sri Kaushik Pavani , Anshul Garg , Bharathi Shekar
发明人： Sri Kaushik Pavani , Anshul Garg , Bharathi Shekar
CPC分类号： G06T7/74 , G06K9/00624 , G06K9/3233 , G06K9/46 , G06Q10/087 , G06T2207/20021
摘要： A method for sequencing products on a retail shelf, or other objects, recognized in an image of the retail shelf includes detecting products in the received image and calculating a final sequence position for each detected product. The final sequence position is calculated by generating a region of interest for each detected product in the received image, generating a plurality of unique raster numbers for each region of interest using a raster number equation by varying parameters of the raster number equation based on pixel coordinates of each region of interest, determining a plurality of sequence positions for each region of interest using the plurality of unique raster numbers, and determining the final sequence position for each region of interest using the plurality of sequence positions for each region of interest. The disclosure also includes systems for implementing the method.
摘要翻译： 在零售货架的图像中识别的零售货架或其他对象上的商品的方法包括检测接收到的图像中的产品并计算每个检测到的产品的最终序列位置。 通过对接收到的图像中的每个检测到的产品生成感兴趣的区域来计算最终序列位置，使用光栅数等式通过基于像素坐标改变光栅数等式的参数来生成每个感兴趣区域的多个唯一光栅号 使用所述多个唯一光栅号确定每个感兴趣区域的多个序列位置，以及使用所述感兴趣区域的所述多个序列位置来确定每个感兴趣区域的最终序列位置。 本公开还包括用于实现该方法的系统。
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8.发明授权公开(公告)号：US09342900B1
公开(公告)日：2016-05-17
申请号：US14582036
申请日：2014-12-23
申请人： Bharathi Shekar , Sri Kaushik Pavani , Anshul Garg
发明人： Bharathi Shekar , Sri Kaushik Pavani , Anshul Garg
CPC分类号： 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
摘要： 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, identifies each item in the image, generates a region of interest for each identified item in the image, determines a pixel dimension of the region of interest for each identified item, determines whether one of the identified items in the image is a reference marker with a stored physical dimension, determines a pixel-to-physical dimension ratio for the reference marker using the dimension in pixels and stored physical dimension of the reference marker, and determines a stock keeping unit identifier of each identified item in the image based on the pixel-to-physical dimension ratio and the pixel dimension of the region of interest for each identified item.
摘要翻译： 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，识别图像中的每个项目，为图像中的每个识别项目生成感兴趣区域，确定每个识别项目的感兴趣区域的像素维度，确定一个 图像中所识别的项目是具有存储的物理尺寸的参考标记，使用像素中的尺寸和参考标记的存储的物理尺寸确定参考标记的像素对物体尺寸比，并且确定库存单位 基于像素对物理维度比率和每个识别项目的感兴趣区域的像素维度，图像中的每个识别项目的标识符。
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9.发明授权公开(公告)号：US09330474B1
公开(公告)日：2016-05-03
申请号：US14582049
申请日：2014-12-23
申请人： Bharathi Shekar , Sri Kaushik Pavani , Anshul Garg
发明人： Bharathi Shekar , Sri Kaushik Pavani , Anshul Garg
CPC分类号： G06K9/46 , G06K9/00 , G06K9/00671 , G06K9/2081 , G06K9/6201 , G06K2009/6213 , G06K2209/17 , G06T7/60 , G06T7/62 , G06T2207/10004 , G06T2207/30128
摘要： 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 including a shelving unit stocking a plurality of items, identifies each item in the image, generates a region of interest for each identified item in the image, identifies a physical dimension of a portion of region depicted in the image, determines a dimension of the region of interest for each identified item and the portion of region in pixels, determines a pixel-to-physical dimension ratio using the dimension in pixels of the portion of region and the physical dimension of the portion of region depicted in the image, and determines a stock keeping unit identifier of each identified item in the image based on the pixel-to-physical dimension ratio and the dimension of the region of interest for each identified item.
摘要翻译： 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包括存储多个项目的搁架单元的图像，识别图像中的每个项目，为图像中的每个识别的项目生成感兴趣的区域，识别图像中描绘的区域的一部分的物理尺寸 确定每个已识别项目的感兴趣区域的维度和以像素为单位的区域部分，使用区域部分的尺寸和所示区域的部分的物理尺寸的像素确定像素与物理尺寸比 并且基于像素对物理维度比率和每个识别项目的感兴趣区域的维度来确定图像中每个识别项目的库存单位标识符。
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10.发明申请Distinguishing Between Stock Keeping Units Using a Physical Dimension of a Region Depicted in an Image 审中-公开使用图像中描绘的区域的物理维度区分库存单位公开(公告)号：US20160321518A1
公开(公告)日：2016-11-03
申请号：US15144495
申请日：2016-05-02
申请人： Bharathi Shekar , Sri Kaushik Pavani , Anshul Garg
发明人： Bharathi Shekar , Sri Kaushik Pavani , Anshul Garg
CPC分类号： G06K9/46 , G06K9/00 , G06K9/00671 , G06K9/2081 , G06K9/6201 , G06K2009/6213 , G06K2209/17 , G06T7/60 , G06T7/62 , G06T2207/10004 , G06T2207/30128
摘要： 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 including a shelving unit stocking a plurality of items, identifies each item in the image, generates a region of interest for each identified item in the image, identifies a physical dimension of a portion of region depicted in the image, determines a dimension of the region of interest for each identified item and the portion of region in pixels, determines a pixel-to-physical dimension ratio using the dimension in pixels of the portion of region and the physical dimension of the portion of region depicted in the image, and determines a stock keeping unit identifier of each identified item in the image based on the pixel-to-physical dimension ratio and the dimension of the region of interest for each identified item.
摘要翻译： 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包括存储多个项目的搁架单元的图像，识别图像中的每个项目，为图像中的每个识别的项目生成感兴趣的区域，识别图像中描绘的区域的一部分的物理尺寸 确定每个已识别项目的感兴趣区域的维度和以像素为单位的区域部分，使用区域部分的尺寸和所示区域的部分的物理尺寸的像素确定像素与物理尺寸比 并且基于像素对物理维度比率和每个识别项目的感兴趣区域的维度来确定图像中每个识别项目的库存单位标识符。
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