-
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.
-
公开(公告)号：US09750420B1
公开(公告)日：2017-09-05
申请号：US14566152
申请日：2014-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Wei Li , Nicholas Jialei Su , Ambrish Tyagi
CPC classification number: A61B5/02427 , A61B5/0077 , A61B5/6898 , G06K9/00281 , G06T7/73 , G06T2207/10021 , G06T2207/10024 , G06T2207/10048 , G06T2207/20081 , G06T2207/20084 , G06T2207/20124 , G06T2207/30201
Abstract: The location of a user's head, for purposes such as head tracking or motion input, can be determined. For example, a computing device (e.g., a tablet, mobile phone, etc.) can utilize one or more detectors or other image classifiers to detect the presence objects such as features of the face in images captured by one or more cameras of the computing device. Based on the detected feature(s), the subject technology provides embodiments for detecting a heart rate of the user of the computing device without requiring invasive procedures or addition sensors on the computing device by selecting a region of interest for analyzing color or other image data measurements over a period of time. Changes in color at the select region of interest may be further processed to extract a user's heart rate using techniques described further herein.
-
公开(公告)号：US09729865B1
公开(公告)日：2017-08-08
申请号：US14307492
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
CPC classification number: H04N13/366 , G06F1/1686 , G06F1/3206 , G06F1/3231 , G06K9/00201 , G06K9/00248 , G06K9/00268 , G06K9/00295 , G06K9/00771 , G06T2207/10021 , H04N5/76 , H04N13/204 , H04N13/239 , H04N13/271 , H04N2013/0081 , Y02D10/173
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.
-
公开(公告)号：US09635307B1
公开(公告)日：2017-04-25
申请号：US14974681
申请日：2015-12-18
Applicant: Amazon Technologies, Inc.
Inventor： Rohith Mysore Vijaya Kumar , Ambrish Tyagi , Yadunandana Nagaraja Rao , Suresh Bholabhai Lakhani , Amit Kumar Agrawal
CPC classification number: H04N5/917 , G06K9/00664 , G06K9/00711 , G06K9/00751 , G06K9/4642 , G06T2207/10016 , G06T2207/10024 , H04N7/0102 , H04N7/0127 , H04N21/2743 , H04N21/41407 , H04N21/42203 , H04N21/4223 , H04N21/47205 , H04N21/4788 , H04N21/8549
Abstract: A system and method for generating preview data from video data and using the preview data to select portions of the video data or determine an order with which to upload the video data. The system may sample video data to generate sampled video data and may identify portions of the sampled video data having complexity metrics exceeding a threshold. The system may upload a first portion of the video data corresponding to the identified portions while omitting a second portion of the video data. The system may determine an order with which to upload portions of the video data based on a complexity of the video data. Therefore, portions of the video data that may require additional processing after being uploaded may be prioritized and uploaded first. As a result, a latency between the video data being uploaded and a video summarization being received is reduced.
-
公开(公告)号：US09578279B1
公开(公告)日：2017-02-21
申请号：US14974800
申请日：2015-12-18
Applicant: Amazon Technologies, Inc.
Inventor： Rohith Mysore Vijaya Kumar , Ambrish Tyagi , Yadunandana Nagaraja Rao , Suresh Bholabhai Lakhani , Amit Kumar Agrawal
CPC classification number: G06K9/00664 , G06K9/00711 , G06K9/00751 , G06K9/4642 , G11B27/031 , H04N5/77 , H04N21/23418 , H04N21/2743 , H04N21/4223 , H04N21/84 , H04N21/8456 , H04N21/8549
Abstract: A system and method for generating preview data from video data and using the preview data to select portions of the video data or determine an order with which to upload the video data. The system may sample video data to generate sampled video data and may identify portions of the sampled video data having complexity metrics exceeding a threshold. The system may upload a first portion of the video data corresponding to the identified portions while omitting a second portion of the video data. The system may determine an order with which to upload portions of the video data based on a complexity of the video data. Therefore, portions of the video data that may require additional processing after being uploaded may be prioritized and uploaded first. As a result, a latency between the video data being uploaded and a video summarization being received is reduced.
Abstract translation: 一种用于从视频数据生成预览数据并使用预览数据来选择视频数据的部分或者确定用于上传视频数据的顺序的系统和方法。 系统可以采样视频数据以产生采样的视频数据，并且可以识别具有超过阈值的复杂度度量的采样视频数据的部分。 该系统可以在省略视频数据的第二部分的同时上传与所识别的部分相对应的视频数据的第一部分。 系统可以基于视频数据的复杂度来确定用于上传视频数据的部分的顺序。 因此，上传后可能需要额外处理的视频数据的部分可以被优先排列并首先上传。 因此，正在上传的视频数据和正在接收的视频摘要之间的延迟被减少。
-
Patent Agency Ranking
公开(公告)号：US09298974B1
公开(公告)日：2016-03-29
申请号：US14307493
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
CPC classification number: H04N13/239 , G06K9/00261 , G06K9/00288 , G06K9/03 , H04N13/271 , H04N2013/0081 , H04N2013/0092
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.
Abstract translation: 各种实施例使得能够使用立体声关联和多个跟踪算法来识别和跟踪主要用户。 例如，可以独立地通过各个相机拍摄的每个图像上运行面部检测算法。 可以执行立体声协会来匹配相机之间的面孔。 如果脸部匹配并且确定了主要用户，则创建面部对并将其用作用于初始化对象跟踪的存储器中的第一数据点。 此外，可以提取用户面部的特征，并且图像之间的这些特征的位置变化可以确定将为该特定帧使用什么跟踪方法。
-
公开(公告)号：US11423630B1
公开(公告)日：2022-08-23
申请号：US16454523
申请日：2019-06-27
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Brandon Michael Smith , Visesh Uday Kumar Chari , JinJin Li , Ram Sever , Prakash Ramu , Sunil Sharadchandra Hadap , Apoorv Chaudhri
Abstract: Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different views with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model or avatar of the body of the user.
-
公开(公告)号：US10909349B1
公开(公告)日：2021-02-02
申请号：US16450499
申请日：2019-06-24
Applicant: Amazon Technologies, Inc.
Inventor： Shashank Tripathi , Visesh Chari , Ambrish Tyagi , Amit Kumar Agrawal , James Rehg , Siddhartha Chandra
Abstract: Techniques are generally described for object detection in image data. First image data comprising a three-dimensional model representing an object may be received. First background image data comprising a first plurality of pixel values may be received. A first feature vector representing the three-dimensional model may be generated. A second feature vector representing the first plurality of pixel values of the first background image data may be generated. A first machine learning model may generate a transformed representation of the three-dimensional model using the first feature vector. First foreground image data comprising a two-dimensional representation of the transformed representation of the three-dimensional model may be generated. A frame of composite image data may be generated by combining the first foreground image data with the first background image data.
-
公开(公告)号：US10482925B1
公开(公告)日：2019-11-19
申请号：US15783584
申请日：2017-10-13
Applicant: Amazon Technologies, Inc.
Inventor： Ambrish Tyagi , Suresh Bholabhai Lakhani , Rohith Mysore Vijaya Kumar , Yadunandana Nagaraja Rao , Amit Kumar Agrawal
Abstract: A system and method for selecting portions of video data from preview video data is provided. The system may extract image features from the preview video data and discard video frames associated with poor image quality based on the image features. The system may determine similarity scores between individual video frames and corresponding transition costs and may identify transition points in the preview video data based on the similarity scores and/or transition costs. The system may select portions of the video data for further processing based on the transition points and the image features. By selecting portions of the video data, the system may reduce a bandwidth consumption, processing burden and/or latency associated with uploading the video data or performing further processing.
-
公开(公告)号：US10282857B1
公开(公告)日：2019-05-07
申请号：US15634772
申请日：2017-06-27
Applicant: Amazon Technologies, Inc.
Inventor： Ilya Vladimirovich Brailovskiy , Amit Kumar Agrawal
IPC: H04N13/02 , G06T7/521 , H04N5/33 , H04N13/254 , H04N13/271
Abstract: Devices and techniques are described for validation of depth data. A first pattern and second pattern may be projected. A first image of the first pattern and a second image of the second pattern may be captured. A first code word may be determined for a first pixel address based on a first value of the first pixel address in the first pattern and a second value of the first pixel address in the second pattern. A third pattern may be projected. A second code word may be determined for the first pixel address based on a third value of the first pixel address in the third pattern and the second value of the first pixel address in the second pattern. A confidence value of the first pixel address may be assigned based on the first code word and the second code word corresponding to the same projector column.
-
-
-
-
-
-
-
-
-
Search Results
37
records
(took 0.044 seconds)
