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公开(公告)号：US20180240220A1
公开(公告)日：2018-08-23
申请号：US15752312
申请日：2016-06-14
Applicant: SONY CORPORATION
Inventor： Tomohiro KATORI , Jun KIMURA , Ryo FUKAZAWA , Kazuomi KONDO , Tsubasa TSUKAHARA
CPC classification number: G06T5/003 , G02B27/0172 , G02B2027/0138 , G02B2027/014 , G06F3/011 , G06F3/04815 , G06K9/00201 , G06K9/00597 , G06K9/00671 , G06K9/183 , G06K9/6201 , G06T5/50 , G06T7/20 , G06T7/70 , G06T11/00 , G06T19/006 , G06T2207/20201 , G06T2207/30244 , G09G3/20 , G09G5/00
Abstract: There is provided an information processing apparatus, an information processing method, and a program capable of further reducing the unpleasant feeling caused by the disturbance of the display of the virtual object, the information processing apparatus including: a prediction accuracy estimation unit that estimates a degree of prediction accuracy related to prediction of a position or a posture of a real object; and an output control unit that outputs information for causing a display unit to display a virtual object corresponding to the real object on a basis of an estimation result of the prediction accuracy estimation unit.
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公开(公告)号：US10054430B2
公开(公告)日：2018-08-21
申请号：US15057140
申请日：2016-03-01
Applicant: APPLE INC.
Inventor： Zafrir Mor , Boris Morgenstein
IPC: G02B27/10 , G01B11/25 , G02B5/18 , H01S5/00 , H01S5/42 , G02B27/20 , G02B27/42 , G06K9/20 , G06F3/03 , G06F3/042 , H01S5/022 , F21Y115/10
CPC classification number: G01B11/2513 , F21Y2115/10 , G02B27/1093 , G02B27/20 , G02B27/4205 , G06F3/0304 , G06F3/042 , G06K9/00201 , G06K9/2036 , G06K2209/401 , H01S5/005 , H01S5/02288 , H01S5/423
Abstract: An optoelectronic device includes a semiconductor substrate, an array of optical emitters arranged on the substrate in a two-dimensional pattern, a projection lens and a diffractive optical element (DOE). The projection lens is mounted on the semiconductor substrate and is configured to collect and focus light emitted by the optical emitters so as to project optical beams containing a light pattern corresponding to the two-dimensional pattern of the optical emitters on the substrate. The DOE is mounted on the substrate and is configured to produce and project multiple overlapping replicas of the pattern.
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公开(公告)号：US20180218517A1
公开(公告)日：2018-08-02
申请号：US15886489
申请日：2018-02-01
Applicant: Carl Zeiss Industrielle Messtechnik GmbH
Inventor： Christian Schleith , Tom Jaeckel , Alexander Frey , Markus Basel
CPC classification number: G06T7/85 , G03B7/093 , G06K9/00201 , G06K9/2027 , G06K9/4604 , G06K9/4661 , G06K2209/40 , G06T7/97 , H04N5/2353 , H04N5/2357 , H04N13/189 , H04N13/207
Abstract: A method for determining an exposure, in particular an exposure time, for a recording in a method for determining the 3D coordinates of an object is provided, in which a pattern is projected onto the object and the light reflected by the object is recorded. To improve such a method, a recording of the object is produced with a predetermined exposure, in particular exposure time. A mask image of this recording is produced, in which mask image the regions of the object lying within the measurement volume are depicted. The exposure, in particular the exposure time, for the recording is determined depending on the predetermined exposure, in particular exposure time, depending on the mean greyscale value in the regions, lying within the measurement volume, of the recording with a predetermined exposure and depending on an ideal greyscale value.
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公开(公告)号：US10038677B1
公开(公告)日：2018-07-31
申请号：US15496187
申请日：2017-04-25
Applicant: Wickr Inc.
Inventor： Christopher Howell , Robert Statica , Kara Lynn Coppa
CPC classification number: H04L63/0421 , G06F3/0416 , G06F3/0488 , G06F21/62 , G06F2203/04104 , G06K9/00201 , H04L9/08 , H04L9/0816 , H04L9/0822 , H04L9/0825 , H04L9/0841 , H04L9/0869 , H04L9/30 , H04L9/3066 , H04L9/3236 , H04L63/04 , H04L63/0435 , H04L63/0442 , H04L63/061 , H04L63/08 , H04L63/0853 , H04L2209/24
Abstract: A digital security bubble encapsulation is disclosed. A public key and a device identifier of at least one recipient is requested from a first server. A message containing one or more components is encrypted using a symmetric key. The symmetric key is encrypted with a public key received in response to the request. The encrypted message, the encrypted symmetric key, and the device identifier are encapsulated in a digital security bubble encapsulation. The digital security bubble encapsulation is transmitted to a second server.
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公开(公告)号：US10037602B2
公开(公告)日：2018-07-31
申请号：US15136904
申请日：2016-04-23
Applicant: Edge 3 Technologies, Inc.
Inventor： Tarek El Dokor , Jordan Cluster
CPC classification number: G06T7/00 , G06K9/00 , G06K9/00201 , G06K9/6218 , G06K9/66 , G06T7/11 , G06T7/174 , G06T7/187 , G06T7/593 , G06T2200/04 , G06T2207/10021 , G06T2207/10024 , G06T2207/20112 , H05K999/99
Abstract: A method and apparatus for segmenting an image are provided. The method may include the steps of clustering pixels from one of a plurality of images into one or more segments, determining one or more unstable segments changing by more than a predetermined threshold from a prior of the plurality of images, determining one or more segments transitioning from an unstable to a stable segment, determining depth for one or more of the one or more segments that have changed by more than the predetermined threshold, determining depth for one or more of the one or more transitioning segments, and combining the determined depth for the one or more unstable segments and the one or more transitioning segments with a predetermined depth of all segments changing less than the predetermined threshold from the prior of the plurality of images.
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Patent Agency Ranking
公开(公告)号：US20180211410A1
公开(公告)日：2018-07-26
申请号：US15412967
申请日：2017-01-23
Applicant: Wheego Electric Cars, Inc.
Inventor： Thomas Steven Taylor
CPC classification number: G06T7/74 , B60R11/04 , G06K9/00201 , G06K9/00818 , G06K9/22 , G06K9/4604 , G06K9/6204 , G06T7/248 , G06T7/80 , G06T2207/30252 , H04M2250/52 , H04N7/183
Abstract: A controller/application analyzes image data from a camera to determine the distance to an object in an image based on the size of the object in the image and based on a known focal length of a camera that captured the image and based on a known dimension of the actual object. The known dimension of the object may be retrieved from a database that is indexed according to outline shape, color, markings, contour, or other similar features or characteristics. The distance determined from analysis of the image and objects therein may be used to calibrate, or to verify the calibration of, complex distance determining systems that may include LIDAR. Object distance determinations in different image frames, whether to the same or different object, taken a known time apart may be used to determine speed of the camera that took the images, or speed of a vehicle associated with camera.
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公开(公告)号：US20180197330A1
公开(公告)日：2018-07-12
申请号：US15441760
申请日：2017-02-24
Applicant: Ditto Technologies, Inc.
Inventor： Michael Wang
CPC classification number: G06T17/10 , G06K9/00201 , G06K9/00228 , G06K9/00275 , G06K9/00281 , G06K9/209 , G06T7/269 , G06T7/571 , G06T7/80 , G06T11/00 , G06T15/04 , G06T17/00 , G06T2215/16
Abstract: Modeling of a user's face is disclosed, including: receiving an input image of a user's face to be modeled; and generating a set of parameter values to a statistical model that corresponds to the input image by evaluating candidate parameter values using a cost function that is determined based at least in part on optical flow.
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公开(公告)号：US20180189550A1
公开(公告)日：2018-07-05
申请号：US15573475
申请日：2016-05-12
Applicant: MINE ONE GmbH
Inventor： James A. McCombe , Rolf Herken , Brian W. Smith
CPC classification number: G06K9/00288 , G06K9/00201 , G06K9/00208 , G06K9/00255 , G06K9/00281 , G06K9/00926 , G06K9/6212
Abstract: Methods, systems and computer program products (“software”) enable a virtual three-dimensional visual experience (referred to herein as “V3D”) in videoconferencing and other applications; the capturing, processing and displaying of images and image streams; and generation of a facial signature based on images of a given human user's or subject's face, or lace and head, for accurate, reliable identification or authentication of a human user or subject, in a secure, difficult to forge manner.
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公开(公告)号：US10013750B2
公开(公告)日：2018-07-03
申请号：US14138399
申请日：2013-12-23
Applicant: Tsinghua University , Nuctech Company Limited
Inventor： Li Zhang , Zhiqiang Chen , Ziran Zhao , Qiang Li , Jianping Gu , Yunda Sun
CPC classification number: G06T7/0004 , G01V5/005 , G06K9/00201 , G06T7/0002 , G06T15/08 , G06T2200/04 , G06T2207/10116 , G06T2207/30112
Abstract: Disclosed are object detection method, display methods and apparatuses. The method includes obtaining slice data of inspected luggage in the CT system; generating 3D volume data of objects in the luggage from the slice data; for each object, determining a semantic description including at least a quantifier description of the object based on the 3D volume data; and upon reception of a user selection of an object, presenting the semantic description of the selected object while displaying a 3D image of the object. The above solutions can create a 3D model for objects in the inspected luggage in a relatively accurate manner, and thus provide better basis for subsequent shape feature extraction and security inspection, and reduce omission factor.
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公开(公告)号：US20180181789A1
公开(公告)日：2018-06-28
申请号：US15853460
申请日：2017-12-22
Applicant: HEXAGON TECHNOLOGY CENTER GMBH
Inventor： Bernhard METZLER , Bernd REIMANN , Alexander VELIZHEV
CPC classification number: G06K9/0063 , G06K9/00201 , G06K9/00624 , G06K9/00718 , G06K9/46 , G06K9/6201 , G06K9/6262 , G06K9/66 , G06T2207/30192
Abstract: A method and system for surveying and/or metrology for assigning particular classes of interest within measurement data, wherein an assignment of at least one measurement object to a first class of interest within the measurement data based on a classification model, is processed by a feedback procedure providing feedback data for a training procedure which provides update information for the classification model, wherein the training procedure is based on a machine learning algorithm, e.g. relying on deep learning for supervised learning and/or unsupervised learning.
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