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公开(公告)号：US09760799B2
公开(公告)日：2017-09-12
申请号：US12661052
申请日：2010-03-10
申请人： Andrew Neil Stein , Neil Alldrin , Kshitiz Garg
发明人： Andrew Neil Stein , Neil Alldrin , Kshitiz Garg
CPC分类号： G06K9/6209 , G06K9/00221 , G06K9/4661
摘要： In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying shadow edges in the image, computing gradient information for the image and modifying the gradient information relative to the shadow edges for improved performance of computer functionality in an image processing operation.
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公开(公告)号：US20110222742A1
公开(公告)日：2011-09-15
申请号：US12661052
申请日：2010-03-10
申请人： Andrew Neil Stein , Neil Alldrin , Kshitiz Garg
发明人： Andrew Neil Stein , Neil Alldrin , Kshitiz Garg
IPC分类号： G06K9/00
CPC分类号： G06K9/6209 , G06K9/00221 , G06K9/4661
摘要： In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying shadow edges in the image, computing gradient information for the image and modifying the gradient information relative to the shadow edges for improved performance of computer functionality in an image processing operation.
摘要翻译： 在本发明的第一示例性实施例中，提供了一种用于处理图像的自动计算机化方法。 根据本发明的特征，该方法包括以下步骤：提供描绘图像的图像文件，在计算机存储器中识别图像中的阴影边缘，计算图像的梯度信息并相对于阴影修改梯度信息 边缘，用于改善图像处理操作中计算机功能的性能。
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公开(公告)号：US08452109B2
公开(公告)日：2013-05-28
申请号：US12655930
申请日：2010-01-11
申请人： Neil Alldrin , Kshitiz Garg , Andrew Neil Stein , Kristin Jean Dana , Bruce Allen Maxwell , Casey Arthur Smith , Youngrock Yoon , Besma Roui Abidi
发明人： Neil Alldrin , Kshitiz Garg , Andrew Neil Stein , Kristin Jean Dana , Bruce Allen Maxwell , Casey Arthur Smith , Youngrock Yoon , Besma Roui Abidi
IPC分类号： G06K9/62
CPC分类号： G06K9/4661 , G06T7/11 , G06T7/162 , G06T7/41 , G06T7/49 , G06T7/90 , G06T2200/24 , G06T2207/10024
摘要： In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, for example, a same texture, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.
摘要翻译： 在本发明的第一示例性实施例中，提供了一种用于处理图像的自动计算机化方法。 根据本发明的特征，该方法包括以下步骤：提供描绘图像的图像文件，在计算机存储器中组装图像文件的特征向量，所述特征向量包含关于所选择的一对 图像文件的区域具有相同的固有特性，例如相同的纹理，提供从计算机学习技术导出的分类器，根据特征的函数计算所选择的图像文件区域的分类分数 矢量和分类器，并将区域分类为具有相同固有特征的区域，作为分类分数的函数。
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公开(公告)号：US20110170768A1
公开(公告)日：2011-07-14
申请号：US12655930
申请日：2010-01-11
申请人： Neil Alldrin , Kshitiz Garg , Andrew Neil Stein , Kristin Jean Dana , Bruce Allen Maxwell , Casey Arthur Smith , Youngrock Yoon , Besma Roui Abidi
发明人： Neil Alldrin , Kshitiz Garg , Andrew Neil Stein , Kristin Jean Dana , Bruce Allen Maxwell , Casey Arthur Smith , Youngrock Yoon , Besma Roui Abidi
IPC分类号： G06K9/62
CPC分类号： G06K9/4661 , G06T7/11 , G06T7/162 , G06T7/41 , G06T7/49 , G06T7/90 , G06T2200/24 , G06T2207/10024
摘要： In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, for example, a same texture, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.
摘要翻译： 在本发明的第一示例性实施例中，提供了一种用于处理图像的自动计算机化方法。 根据本发明的特征，该方法包括以下步骤：提供描绘图像的图像文件，在计算机存储器中组装图像文件的特征向量，所述特征向量包含关于所选择的一对 图像文件的区域具有相同的固有特性，例如相同的纹理，提供从计算机学习技术导出的分类器，根据特征的函数计算所选择的图像文件区域的分类分数 矢量和分类器，并将区域分类为具有相同固有特征的区域，作为分类分数的函数。
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公开(公告)号：US08577135B2
公开(公告)日：2013-11-05
申请号：US12590949
申请日：2009-11-17
申请人： Kshitiz Garg , Neil Alldrin
发明人： Kshitiz Garg , Neil Alldrin
CPC分类号： G06T5/005 , G06T7/90 , G06T2207/20081
摘要： In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected region of the image file is specular, providing a classifier derived from a computer learning technique, computing a classification score for the selected region of the image file, as a function of the feature vector and the classifier and classifying the region as being specular, as a function of the classification score.
摘要翻译： 在本发明的第一示例性实施例中，提供了一种用于处理图像的自动计算机化方法。 根据本发明的特征，该方法包括以下步骤：提供描绘图像的图像文件，在计算机存储器中组装图像文件的特征向量，所述特征向量包含关于所选择的区域的可能性的信息 图像文件是镜面的，提供从计算机学习技术导出的分类器，根据特征向量和分类器计算图像文件的选定区域的分类分数，并将该区域分类为镜面函数，作为函数 的分类分数。
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公开(公告)号：US20110116710A1
公开(公告)日：2011-05-19
申请号：US12590949
申请日：2009-11-17
申请人： Kshitiz Garg , Neil Alldrin
发明人： Kshitiz Garg , Neil Alldrin
CPC分类号： G06T5/005 , G06T7/90 , G06T2207/20081
摘要： In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected region of the image file is specular, providing a classifier derived from a computer learning technique, computing a classification score for the selected region of the image file, as a function of the feature vector and the classifier and classifying the region as being specular, as a function of the classification score.
摘要翻译： 在本发明的第一示例性实施例中，提供了一种用于处理图像的自动计算机化方法。 根据本发明的特征，该方法包括以下步骤：提供描绘图像的图像文件，在计算机存储器中组装图像文件的特征向量，所述特征向量包含关于所选择的区域的可能性的信息 图像文件是镜面的，提供从计算机学习技术导出的分类器，根据特征向量和分类器计算图像文件的选定区域的分类分数，并将该区域分类为镜面函数，作为函数 的分类分数。
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公开(公告)号：US20130071033A1
公开(公告)日：2013-03-21
申请号：US13200204
申请日：2011-09-21
申请人： Andrew Neil Stein , Kshitiz Garg
发明人： Andrew Neil Stein , Kshitiz Garg
IPC分类号： G06K9/48
CPC分类号： G06T5/002 , G06T7/13 , G06T7/143 , G06T2207/20076 , G06T2207/20192
摘要： In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, providing a multi-class classifier trained to identify edges in an image relative to computer actions to be taken in respect to the respective edges, determined as a function of illumination effects in the image and utilizing the multi-class classifier to classify edges in the image, for identification of computer actions to be taken in respect to the edges in the image.
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公开(公告)号：US09053537B2
公开(公告)日：2015-06-09
申请号：US13200204
申请日：2011-09-21
申请人： Andrew Neil Stein , Kshitiz Garg
发明人： Andrew Neil Stein , Kshitiz Garg
CPC分类号： G06T5/002 , G06T7/13 , G06T7/143 , G06T2207/20076 , G06T2207/20192
摘要： In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, providing a multi-class classifier trained to identify edges in an image relative to computer actions to be taken in respect to the respective edges, determined as a function of illumination effects in the image and utilizing the multi-class classifier to classify edges in the image, for identification of computer actions to be taken in respect to the edges in the image.
摘要翻译： 在本发明的第一示例性实施例中，提供了一种用于处理图像的自动计算机化方法。 根据本发明的特征，该方法包括以下步骤：在计算机存储器中提供描绘图像的图像文件，该图像文件提供经过训练的多类分类器，以相对于计算机相对于计算机的动作识别图像中的边缘 被确定为图像中的照明效果的函数，并且利用多类分类器对图像中的边缘进行分类，以识别针对图像中的边缘要采取的计算机动作。
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公开(公告)号：US20120237128A1
公开(公告)日：2012-09-20
申请号：US13065274
申请日：2011-03-18
申请人： Kshitiz Garg
发明人： Kshitiz Garg
IPC分类号： G06K9/46
CPC分类号： G06K9/4661 , G06T5/005 , G06T5/008 , G06T5/50 , G06T2207/10024
摘要： In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, processing the image to generate intrinsic images including a material image and an illumination image, and detecting and removing specularity as a function of the intrinsic images.
摘要翻译： 在本发明的第一示例性实施例中，提供了一种用于处理图像的自动计算机化方法。 根据本发明的特征，该方法包括以下步骤：提供描绘图像的图像文件，在计算机存储器中，处理图像以产生包括材料图像和照明图像的固有图像，以及检测和去除镜面反射度 内在图像的功能。
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公开(公告)号：US07783183B2
公开(公告)日：2010-08-24
申请号：US12644296
申请日：2009-12-22
申请人： Kshitiz Garg , Shree K. Nayar
发明人： Kshitiz Garg , Shree K. Nayar
CPC分类号： G01W1/14 , G06K9/346 , G06T7/0002 , G06T2207/30242 , H04N5/232
摘要： Systems and methods for reducing the visibility of rain in acquired images are provided. One or more inputs relating the scene desired to be acquired by the user are used to retrieve camera settings that will reduce the visibility of rain in acquired images. Additionally, features relating to the scene may be automatically determined and used alone, or in combination with user inputs, to retrieve camera settings. The acquired images may be part of a video. Another feature of the invention is its use as a rain gauge. The camera settings are adjusted to enhance the visibility of rain, then one or more images are acquired and analyzed for the amount and size of raindrops. From this analysis the rain rate can be determined.
摘要翻译： 提供了用于降低获取的图像中雨的可视性的系统和方法。 使用与用户想要获取的场景相关的一个或多个输入来检索将降低所获取的图像中的雨的可见度的相机设置。 此外，与场景相关的特征可以单独地或与用户输入结合自动地确定和使用以检索相机设置。 所获取的图像可以是视频的一部分。 本发明的另一个特征是其用作雨量计。 调整相机设置以增强雨的可见度，然后获取一个或多个图像并分析雨滴的数量和大小。 从这个分析可以确定雨率。
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