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公开(公告)号：US09465982B2
公开(公告)日：2016-10-11
申请号：US14247013
申请日：2014-04-07
Applicant: Amazon Technologies, Inc.
Inventor： Kenneth Mark Karakotsios , Volodymyr V. Ivanchenko
CPC classification number: G06K9/00355 , G06F21/32 , G06K9/00167 , G06K9/00288
Abstract: A user can be identified and/or authenticated to an electronic device by analyzing aspects of a motion or gesture made by that user. At least one imaging element of the device can capture image information including the motion or gesture, and can determine time-dependent information about that motion or gesture in two or three dimensions of space. The time-dependent information can be used to identify varying speeds, motions, and other such aspects that are indicative of a particular user. The way in which a gesture or motion is made, in addition to the motion or gesture itself, can be used to authenticate an individual user. While other persons can learn the basic gesture or motion, the way in which each person makes that gesture or motion will generally be at least slightly different, which can be used to prevent unauthorized access to sensitive information, protected functionality, or other such content.
Abstract translation: 可以通过分析由该用户做出的运动或手势的方面来将用户识别和/或认证给电子设备。 设备的至少一个成像元件可以捕获包括运动或手势的图像信息，并且可以在空间的二维或三维空间中确定关于该运动或手势的时间相关信息。 时间相关信息可用于识别指示特定用户的变化速度，运动和其他这样的方面。 除了运动或手势本身之外，进行手势或运动的方式可用于对单个用户进行认证。 虽然其他人可以学习基本姿态或运动，但每个人做出该姿势或动作的方式通常至少稍微不同，这可以用于防止未经授权的访问敏感信息，受保护的功能或其他此类内容。
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公开(公告)号：US09055384B2
公开(公告)日：2015-06-09
申请号：US14046814
申请日：2013-10-04
Applicant: Amazon Technologies, Inc.
Inventor： Volodymyr V. Ivanchenko , Geoffrey Scott Heller , Richard Howard Suplee, III , Daniel Bibireata
CPC classification number: H04W4/001 , G06K9/3258 , G06K9/3283 , H04W4/50
Abstract: Various approaches for providing textual information to an application, system, or service are disclosed. In particular, various embodiments enable a user to capture an image with a camera of a portable computing device. The computing device is capable of taking the image and processing it to recognize, identify, and/or isolate the text in order to forward the text to an application or function. The application or function can then utilize the text to perform an action in substantially real-time. The text may include an email, phone number, URL, an address, and the like and the application or function may be dialing the phone number, navigating to the URL, opening an address book to save contact information, displaying a map to show the address, and so on. Adaptive thresholding can be used to account for variations across an image, in order to improve the accuracy and efficiency of text recognition processes.
Abstract translation: 公开了向应用程序，系统或服务提供文本信息的各种方法。 具体地，各种实施例使得用户能够利用便携式计算设备的照相机捕获图像。 计算设备能够拍摄图像并处理它以识别，识别和/或隔离文本，以便将文本转发到应用或功能。 应用程序或功能可以利用文本来实质地执行一个动作。 文本可以包括电子邮件，电话号码，URL，地址等，并且应用或功能可以拨打电话号码，导航到URL，打开地址簿以保存联系人信息，显示地图以显示 地址等。 可以使用自适应阈值来解释图像上的变化，以便提高文本识别过程的准确性和效率。
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公开(公告)号：US20150116518A1
公开(公告)日：2015-04-30
申请号：US14585033
申请日：2014-12-29
Applicant: Amazon Technologies, Inc.
Inventor： Kah Kuen Fu , Kenneth Mark Karakotsios , Volodymyr V. Ivanchenko
IPC: H04N5/232
CPC classification number: H04N5/23264 , H04N5/23212 , H04N5/23232
Abstract: Image capture can be improved by capturing a sequence of images and analyzing the images to select the image with the least blur and/or an acceptable amount of blur. Gradients can be calculated for at least a portion of the images, and gradient histograms generated. Two or more component curves can be fit to each histogram, such as by using a Gaussian mixture model, and the curves can be compared to determine an amount of variation between the curves. The image with the smallest differences between component curves, or with differences less than a specified blur threshold, can be selected as a sufficiently sharp image and provided for viewing, processing, or another intended purpose of the image to be captured.
Abstract translation: 可以通过捕获图像序列并分析图像来选择具有最小模糊和/或可接受的模糊量的图像来改善图像捕获。 可以对图像的至少一部分计算渐变，并生成渐变直方图。 两个或多个分量曲线可以适合于每个直方图，例如通过使用高斯混合模型，并且可以比较曲线以确定曲线之间的变化量。 可以选择具有组分曲线之间最小差异或小于指定模糊阈值的差异的图像作为足够清晰的图像，并提供用于查看，处理或要捕获的图像的其他预期目的。
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公开(公告)号：US20140187223A1
公开(公告)日：2014-07-03
申请号：US14046814
申请日：2013-10-04
Applicant: Amazon Technologies, Inc.
Inventor： Volodymyr V. Ivanchenko , Geoffrey Scott Heller , Richard Howard Suplee, III , Daniel Bibireata
IPC: H04W4/00
CPC classification number: H04W4/001 , G06K9/3258 , G06K9/3283 , H04W4/50
Abstract: Various approaches for providing textual information to an application, system, or service are disclosed. In particular, various embodiments enable a user to capture an image with a camera of a portable computing device. The computing device is capable of taking the image and processing it to recognize, identify, and/or isolate the text in order to forward the text to an application or function. The application or function can then utilize the text to perform an action in substantially real-time. The text may include an email, phone number, URL, an address, and the like and the application or function may be dialing the phone number, navigating to the URL, opening an address book to save contact information, displaying a map to show the address, and so on. Adaptive thresholding can be used to account for variations across an image, in order to improve the accuracy and efficiency of text recognition processes.
Abstract translation: 公开了向应用程序，系统或服务提供文本信息的各种方法。 具体地，各种实施例使得用户能够利用便携式计算设备的照相机捕获图像。 计算设备能够拍摄图像并处理它以识别，识别和/或隔离文本，以便将文本转发到应用或功能。 应用程序或功能可以利用文本来实质地执行一个动作。 文本可以包括电子邮件，电话号码，URL，地址等，并且应用或功能可以拨打电话号码，导航到URL，打开地址簿以保存联系人信息，显示地图以显示 地址等。 可以使用自适应阈值来解释图像上的变化，以便提高文本识别过程的准确性和效率。
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Patent Agency Ranking
公开(公告)号：US09729792B2
公开(公告)日：2017-08-08
申请号：US14585033
申请日：2014-12-29
Applicant: Amazon Technologies, Inc.
Inventor： Kah Kuen Fu , Kenneth Mark Karakotsios , Volodymyr V. Ivanchenko
CPC classification number: H04N5/23264 , H04N5/23212 , H04N5/23232
Abstract: Image capture can be improved by capturing a sequence of images and analyzing the images to select the image with the least blur and/or an acceptable amount of blur. Gradients can be calculated for at least a portion of the images, and gradient histograms generated. Two or more component curves can be fit to each histogram, such as by using a Gaussian mixture model, and the curves can be compared to determine an amount of variation between the curves. The image with the smallest differences between component curves, or with differences less than a specified blur threshold, can be selected as a sufficiently sharp image and provided for viewing, processing, or another intended purpose of the image to be captured.
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公开(公告)号：US09530208B1
公开(公告)日：2016-12-27
申请号：US14996125
申请日：2016-01-14
Applicant: Amazon Technologies, Inc.
Inventor： Volodymyr V. Ivanchenko
CPC classification number: H04N5/247 , G06T3/0068 , G06T7/246 , G06T7/32 , G06T7/33 , G06T7/38 , G06T7/73 , G06T15/10 , G06T2207/10016 , G06T2207/10021 , G06T2207/30244 , H04N13/204
Abstract: The registration of images captured at multiple locations, for purposes such as location mapping, can be improved by utilizing multiple image capture elements pointing in at least two different directions or having different viewable ranges. At least one primary image is captured at each location. If the primary image is not able to be correlated with at least one other image based on one or more matching features, image information captured by at least one other camera at substantially the same times as those images can be analyzed to attempt to determine a change in position and/or orientation of the device between those times, which can assist in correlating the primary images. In some embodiments, motion or orientation determining elements can assist in the determination of device movement, and in at least some embodiments can reduce the amount of image information to be processed for a match.
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公开(公告)号：US09503703B1
公开(公告)日：2016-11-22
申请号：US13646325
申请日：2012-10-05
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy , David W. Stafford , Volodymyr V. Ivanchenko
CPC classification number: G06T7/85 , G06T5/006 , G06T2207/10012 , H04N13/239 , H04N13/246
Abstract: The quality of stereoscopic imaging using cameras with wide angle lenses can be improved using various calibration approaches to determine distortions or misalignments between the cameras. A calibration object such as a checkered grid with a determined inclination between portions can be used to provide lateral calibration as well as depth information. Intersections of the checkered regions can be used to determine intersection points for the calibration object in the image. Lines formed by the checkered regions can be located, and the points correlated with these lines, in order to determine correspondence between points in the image. These points are mapped to corresponding points of the calibration object in the real world, to determine system parameters and/or image adjustments to be made when subsequent images are captured, in order to remove the distortions and misalignment when providing a stereo image based on images from the cameras.
Abstract translation: 使用各种校准方法可以改善使用具有广角镜头的相机的立体成像的质量，以确定相机之间的失真或不对准。 可以使用诸如在部分之间具有确定的倾斜度的方格网格的校准对象来提供横向校准以及深度信息。 方格区域的交点可用于确定图像中校准对象的交点。 可以定位由方格区域形成的线，并且这些点与这些线相关联，以便确定图像中的点之间的对应关系。 这些点被映射到现实世界中的校准对象的对应点，以确定当捕获后续图像时要进行的系统参数和/或图像调整，以便在基于图像提供立体图像时去除失真和未对准 从相机。
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公开(公告)号：US09303982B1
公开(公告)日：2016-04-05
申请号：US13890125
申请日：2013-05-08
Applicant: Amazon Technologies, Inc.
Inventor： Volodymyr V. Ivanchenko , Sharadh Ramaswamy
CPC classification number: G01B11/22 , G01B11/02 , G01B11/026 , G06T7/55
Abstract: Approaches to enable a computing device, such as a phone or tablet computer, to determine depth information about an object captured by a single camera of the device without requiring multiple cameras to capture that object in their field of view. For example, the computing device may track the object throughout a sequence of images using a single rear-facing camera and then determine the depth information of that object by combining data about the object's changes in size (throughout the sequence of images) and information about the distance between the computing device and a user's face (or other user's feature) that can be determined using two or more front-facing cameras configured for stereo imaging. The depth information of the object may include the distance between the computing device and the object, the distance between the object and the user's face, or the physical dimensions of the object, among other such information.
Abstract translation: 使计算设备（例如电话或平板计算机）能够确定关于由设备的单个摄像机捕获的对象的深度信息的方法，而不需要多个摄像机在其视野中捕获该对象。 例如，计算设备可以使用单个后置摄像机在整个图像序列中跟踪对象，然后通过组合关于对象的尺寸变化（遍及整个图像序列）的数据和关于该信息的信息来确定该对象的深度信息 计算设备与用户面部（或其他用户的特征）之间的距离可以使用配置为立体成像的两个或多个前置摄像头来确定。 对象的深度信息可以包括计算设备与对象之间的距离，对象和用户面部之间的距离，或对象的物理尺寸等。
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公开(公告)号：US20150078623A1
公开(公告)日：2015-03-19
申请号：US14552378
申请日：2014-11-24
Applicant: Amazon Technologies, Inc.
Inventor： KENNETH M. KARAKOTSIOS , Kah Kuen Fu , Volodymyr V. Ivanchenko , Mingjing Huang
IPC: G06K9/00
CPC classification number: G06K9/00255 , G06K9/00228 , G06K9/0061
Abstract: The computational resources needed to perform processes such as image recognition can be reduced by determining appropriate frames of image information to use for the processing. In some embodiments, infrared imaging can be used to determine when a person is looking substantially towards a device, such that an image frame captured at that time will likely be adequate for facial recognition. In other embodiments, sound triangulation or motion sensing can be used to assist in determining which captured image frames to discard and which to select for processing based on any of a number of factors indicative of a proper frame for processing.
Abstract translation: 可以通过确定用于处理的图像信息的适当帧来减少执行诸如图像识别的处理所需的计算资源。 在一些实施例中，可以使用红外成像来确定人物何时基本上朝向设备观看，使得当时捕获的图像帧将可能足以用于面部识别。 在其他实施例中，可以使用声音三角测量或运动感测来基于指示用于处理的适当帧的多个因素中的任何一个来确定要丢弃哪个捕获的图像帧以及哪个被选择用于处理。
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