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公开(公告)号：US10027883B1
公开(公告)日：2018-07-17
申请号：US14307491
申请日：2014-06-18
Applicant: Amazon Technologies, Inc.
Inventor： Cheng-Hao Kuo , Jim Oommen Thomas , Tianyang Ma , Stephen Vincent Mangiat , Sisil Sanjeev Mehta , Ambrish Tyagi , Amit Kumar Agrawal , Kah Kuen Fu , Sharadh Ramaswamy
Abstract: Various embodiments enable a primary user to be identified and tracked using stereo association and multiple tracking algorithms. For example, a face detection algorithm can be run on each image captured by a respective camera independently. Stereo association can be performed to match faces between cameras. If the faces are matched and a primary user is determined, a face pair is created and used as the first data point in memory for initializing object tracking. Further, features of a user's face can be extracted and the change in position of these features between images can determine what tracking method will be used for that particular frame.
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公开(公告)号：US09230158B1
公开(公告)日：2016-01-05
申请号：US13718649
申请日：2012-12-18
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy
CPC classification number: G06K9/00288 , G06K9/00234 , G06K9/00281 , G06K9/0061 , G06K9/00906 , G06K9/46 , H04N5/23219 , H04N7/183
Abstract: Approaches are described which enable a computing device (e.g., mobile phone, tablet computer) to utilize one or more facial recognition techniques to control access to the device and to detect when artificial representations of a user, such as a picture or photograph, are being used in an attempt to gain access to the device. Evidence indicative of artificial representations may include lack of changes in facial skin color between multiple images captured by a camera, ability to track one or more features of the human face while the camera is rotated or moved, presence of secular reflections caused by an illumination device, absence of shadows in the image, and others.
Abstract translation: 描述了使得计算设备（例如，移动电话，平板计算机）能够利用一个或多个面部识别技术来控制对设备的访问并且检测何时用户（例如图片或照片）的人造表示正在被 用于尝试访问设备。 指示人为表示的证据可能包括在相机拍摄的多个图像之间缺少面部肤色的变化，在照相机旋转或移动时跟踪人脸的一个或多个特征的能力，存在由照明装置引起的长期反射 图像中没有阴影，还有其他的。
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公开(公告)号：US09760177B1
公开(公告)日：2017-09-12
申请号：US13929648
申请日：2013-06-27
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy
CPC classification number: G06F3/017 , G06F3/0304
Abstract: The amount of power and processing needed to enable more previze gesture input for a computing device can be reduced by utilizing one or more gesture sensors along with a conventional camera. Information associated with an image, such as color information, acquired from the conventional camera can be mapped to one or more gesture sensors (e.g., low resolution, greyscale or monochrome camera sensors) of a computing device. The mapped information between the conventional camera and the gesture sensors can be used for purposes such as gesture- and/or motion-based approaches.
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公开(公告)号：US10055013B2
公开(公告)日：2018-08-21
申请号：US14029612
申请日：2013-09-17
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy , Jason Robert Weber
IPC: G06F3/12 , G06F3/01 , G06F3/03 , G06F3/0481
CPC classification number: G06F3/012 , G06F3/0304 , G06F3/04815 , G06F2200/1637
Abstract: Systems and approaches provide for user interfaces that are based on object tracking. For example, the object may be a user's head or face. As the user moves his head or face and/or tilts a computing device, the content displayed on the computing device will adapt to the user's perspective. The content may include three-dimensional (3D) graphical elements projected onto a two-dimensional (2D) plane and/or the graphical elements can be associated with textural shading, shadowing or reflections that change according to user or device motion to give the user the impression that the user is interacting with the graphical elements in 3D environment. A state of motion of the device can be determined and jitter and/or latency corresponding to the rendering of content can be altered so as to minimize or decrease jitter when the device is stationary and/or to decrease or minimize latency when the device is in motion.
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公开(公告)号：US09836642B1
公开(公告)日：2017-12-05
申请号：US14987644
申请日：2016-01-04
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy
CPC classification number: G06K9/00288 , G06K9/00234 , G06K9/00281 , G06K9/0061 , G06K9/00906 , G06K9/46 , H04N5/23219 , H04N7/183
Abstract: Approaches are described which enable a computing device (e.g., mobile phone, tablet computer) to utilize one or more facial recognition techniques to control access to the device and to detect when artificial representations of a user, such as a picture or photograph, are being used in an attempt to gain access to the device. Evidence indicative of artificial representations may include lack of changes in facial skin color between multiple images captured by a camera, ability to track one or more features of the human face while the camera is rotated or moved, presence of secular reflections caused by an illumination device, absence of shadows in the image, and others.
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Patent Agency Ranking
公开(公告)号：US09609305B1
公开(公告)日：2017-03-28
申请号：US13801239
申请日：2013-03-13
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy
IPC: H04N13/02
CPC classification number: H04N13/246 , H04N13/239 , H04N13/254 , H04N2013/0081
Abstract: Depth information can be used to assist with image processing functionality, such as various calibration approaches to determine and correct for misalignments between cameras. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to segment an image or frame of video into at least a foreground object and a background object. Once the foreground and background object has been determined, information about that objects can be used to determine a mapping, and once a subsequent stereoscopic image is captured using the cameras, the mapping can be applied to each image to account for misalignment effects due to a misaligned stereo camera pair before providing the stereoscopic image for display.
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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：US09349180B1
公开(公告)日：2016-05-24
申请号：US13897274
申请日：2013-05-17
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy
CPC classification number: G06T7/004 , G06K9/4642 , G06K9/4671 , G06K9/4676 , G06K2209/29 , G06T2207/10012
Abstract: Utilizing viewpoint and scale invariant feature descriptors for object recognition and/or tracking. For example, a user can capture three-dimensional (“3D”) image data including a representation of an object. The 3D image data can be analyzed to detect one or more feature points of the object represented in the image data, where the detected feature points can include position and distance information. The feature points in each image can be correlated and a feature descriptor, or unique fingerprint, can be determined for each detected feature point. The feature descriptors can provide for a multi-dimension vector that includes a unique fingerprint for that feature point that incorporates position information as well as depth information. The feature descriptors corresponding to the correlated feature points can be combined (e.g., added, averaged, etc.) and the combined feature descriptors can be used for performing view point invariant object recognition, image matching, or other such purposes.
Abstract translation: 利用视点和尺度不变特征描述符进行对象识别和/或跟踪。 例如，用户可以捕获包括对象的表示的三维（“3D”）图像数据。 可以分析3D图像数据以检测在图像数据中表示的对象的一个或多个特征点，其中检测到的特征点可以包括位置和距离信息。 每个图像中的特征点可以相关，并且可以为每个检测到的特征点确定特征描述符或唯一指纹。 特征描述符可以提供多维向量，其包括该特征点的唯一指纹，其中包含位置信息以及深度信息。 可以组合对应于相关特征点的特征描述符（例如，添加，平均等），并且组合的特征描述符可以用于执行视点不变对象识别，图像匹配或其它此类目的。
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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：US09866820B1
公开(公告)日：2018-01-09
申请号：US14321519
申请日：2014-07-01
Applicant: Amazon Technologies, Inc.
CPC classification number: H04N13/246 , G06K9/00281 , H04N13/239
Abstract: An electronic device can have two or more pairs of cameras capable of performing three-dimensional imaging. In order to provide accurate disparity information, these cameras should be sufficiently calibrated. Automatic calibration can be performed by periodically capturing images with a pair of front-facing cameras and locating matching facial or other feature points in corresponding images captured by those cameras. Correspondences can be detected between feature points and the corresponding feature points can be normalized and outlier feature points can be rejected. A transformation matrix can be determined using at least a portion of remaining feature points and can be used to determine rotation and translation parameters to correct for misalignment between the cameras. The calibration parameters can be refined or otherwise adjusted, and can be used or stored for use in correcting images subsequently captured by those cameras.
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