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11.发明申请公开(公告)号：US20190182472A1
公开(公告)日：2019-06-13
申请号：US16278435
申请日：2019-02-18
Applicant: Verizon Patent and Licensing Inc.
Inventor： Syed Meeran Kamal , Steven L. Smith , Yongsheng Pan , Sergey Virodov , Jonathan A. Globerson , Lama Hewage Ravi Prathapa Chandrasiri , Mohammad Raheel Khalid
IPC: H04N13/156 , H04N13/282 , H04N13/271 , G06T5/50 , H04N13/117 , H04N5/247
CPC classification number: H04N13/156 , G01B11/00 , G01B11/24 , G06T5/50 , G06T2207/10028 , H04N5/247 , H04N13/117 , H04N13/271 , H04N13/282
Abstract: An exemplary depth data generation system accesses first and second depth maps of a real-world scene, the depth maps independently captured using first and second depth map capture techniques, respectively. The first and second depth maps include, respectively, first and second depth data points both representative of a same physical point on a surface of an object in the real-world scene. Based on the first and second depth map capture techniques and based on an attribute of the surface of the object, the system assigns a first confidence value to the first depth data point and a second confidence value to the second depth data point. Based on the first and second confidence values, the system converges the first and second depth maps to form a converged depth map of the real-world scene that includes a third depth data point representing the physical point on the surface of the object.
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公开(公告)号：US12056212B2
公开(公告)日：2024-08-06
申请号：US17897741
申请日：2022-08-29
Applicant: Verizon Patent and Licensing Inc.
Inventor： Sergey Virodov , Vinaya Kumar Polavarapu
IPC: G06K9/00 , G06F18/211 , G06F18/2113 , G06F18/22 , G06F18/25 , G06V10/22 , G06V10/40 , G06V10/46 , G06V10/771 , G06V10/80 , G06V20/00 , G06V20/20 , G06V30/18
CPC classification number: G06F18/22 , G06F18/211 , G06F18/2113 , G06F18/253 , G06V10/23 , G06V10/40 , G06V10/46 , G06V10/464 , G06V10/771 , G06V10/806 , G06V20/00 , G06V20/20 , G06V30/18152 , G06T2207/20021
Abstract: An illustrative image descriptor generation system determines a subset of image descriptors from a plurality of image descriptors that each correspond to a different feature point included within an image. The subset of image descriptors is determined based on geometric proximity, within the image, of respective feature points of the subset of image descriptors to a feature point of a primary image descriptor. The image descriptor generation system then selects a secondary image descriptor from the subset of image descriptors and combines the primary image descriptor and the secondary image descriptor to form a composite image descriptor. Corresponding methods and systems are also disclosed.
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公开(公告)号：US20220414393A1
公开(公告)日：2022-12-29
申请号：US17897741
申请日：2022-08-29
Applicant: Verizon Patent and Licensing Inc.
Inventor： Sergey Virodov , Vinaya Kumar Polavarapu
Abstract: An illustrative image descriptor generation system determines a subset of image descriptors from a plurality of image descriptors that each correspond to a different feature point included within an image. The subset of image descriptors is determined based on geometric proximity, within the image, of respective feature points of the subset of image descriptors to a feature point of a primary image descriptor. The image descriptor generation system then selects a secondary image descriptor from the subset of image descriptors and combines the primary image descriptor and the secondary image descriptor to form a composite image descriptor. Corresponding methods and systems are also disclosed.
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公开(公告)号：US20200265238A1
公开(公告)日：2020-08-20
申请号：US16278377
申请日：2019-02-18
Applicant: Verizon Patent and Licensing Inc.
Inventor： Vinay Polavarapu , Christian Egeler , Sergey Virodov , William Patrick Dildine , Adwait Ashish Murudkar , Paul Duree , Gang Lin , Paul Cannon , Alexander Zilbershtein , Pai Moodlagiri
Abstract: An exemplary object identification system detects, based on a machine learning model, an object depicted within a video frame. The system identifies, based on the detecting of the object, a class label of the object and a region of interest, within the video frame, of the object. The system identifies, within the region of interest of the object, set of features of the object. The system compares the set of features of the object with a plurality of predefined features within a data store associated with the class label of the object. The system determines, based on the comparing of the set of features of the object with the plurality of predefined features within the data store, whether the object is configured to trigger an augmentation of video content associated with the video frame. Corresponding methods and systems are also disclosed.
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公开(公告)号：US20190206131A1
公开(公告)日：2019-07-04
申请号：US15859161
申请日：2017-12-29
Applicant: Verizon Patent and Licensing Inc.
Inventor： Syed Meeran Kamal , Jonathan A. Globerson , Adwait Ashish Murudkar , Lama Hewage Ravi Prathapa Chandrasiri , Sergey Virodov
CPC classification number: G06T19/006 , G06T7/70 , G06T2207/10016 , H04N9/3185 , H04N9/3194
Abstract: An augmented reality presentation system directs a sensor included within an augmented reality projection device to capture an image of a portion of a real-world environment included within a field of view of the sensor. As the sensor captures the image, the system determines that a target object located within the real-world environment is included within the field of view of the sensor, and identifies augmented reality content associated with the target object. As the sensor continues capturing the image, the system directs a projector included within the augmented reality projection device to project the augmented reality content onto a physical surface within the real-world environment and associated with the target object. The physical surface is physically detached from the augmented reality projection device and is included within the field of view of the sensor while the augmented reality content is projected onto the physical surface.
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Patent Agency Ranking
16.发明授权公开(公告)号：US10033988B2
公开(公告)日：2018-07-24
申请号：US15339680
申请日：2016-10-31
Applicant: Verizon Patent and Licensing Inc.
Inventor： Steven L. Smith , Syed Meeran Kamal , Yongsheng Pan , Lama Hewage Ravi Prathapa Chandrasiri , Sergey Virodov , Mohammad Raheel Khalid
Abstract: An exemplary depth capture system (“system”) emits, from a first fixed position with respect to a real-world scene and within a first frequency band, a first structured light pattern onto surfaces of objects included in a real-world scene. The system also emits, from a second fixed position with respect to the real-world scene and within a second frequency band, a second structured light pattern onto the surfaces of the objects. The system detects the first and second structured light patterns using one or more optical sensors by way of first and second optical filters, respectively. The first and second optical filters are each configured to only pass one of the structured light patterns and to block the other. Based on the detection of the structured light patterns, the system generates depth data representative of the surfaces of the objects included in the real-world scene.
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公开(公告)号：US20220245394A1
公开(公告)日：2022-08-04
申请号：US17167846
申请日：2021-02-04
Applicant: Verizon Patent and Licensing Inc.
Inventor： Sergey Virodov , Vinaya Kumar Polavarapu
Abstract: An illustrative image descriptor generation system generates a descriptor listing that includes a plurality of image descriptors corresponding to different feature points included within an image. Based on the descriptor listing, the system generates a geometric map representing the plurality of image descriptors in accordance with respective geometric positions of the corresponding feature points of the image descriptors within the image. Based on the geometric map, the system determines a proximity listing for a primary image descriptor within the plurality of image descriptors. The proximity listing indicates a subset of image descriptors that are geometrically proximate to the primary image descriptor within the image. Based on the proximity listing, the system selects a secondary image descriptor from the subset of image descriptors and combines the primary and secondary image descriptors to form a composite image descriptor. Corresponding methods and systems are also disclosed.
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公开(公告)号：US10552984B2
公开(公告)日：2020-02-04
申请号：US15728396
申请日：2017-10-09
Applicant: Verizon Patent and Licensing Inc.
Inventor： Sergey Virodov
Abstract: A capture device calibration system accesses a plurality of datasets that are synchronously captured by a set of capture devices. The capture devices are progressively relocated to form a plurality of different positional configurations each implementing a formation that includes a center position and one or more peripheral positions. The capture device calibration system determines three dimensional (“3D”) locations of features of a calibration object positioned in front of the formation based on different representations of the calibration object captured by the set of capture devices from different view angles associated with the center position and the one or more peripheral positions included within the formation. Based on the determined 3D locations of the features of the calibration object, the capture device calibration system determines a set of intrinsic parameter values for one or more of the capture devices in the set of capture devices. Corresponding methods are also disclosed.
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公开(公告)号：US20180309979A1
公开(公告)日：2018-10-25
申请号：US16021004
申请日：2018-06-27
Applicant: Verizon Patent and Licensing Inc.
Inventor： Steven L. Smith , Syed Meeran Kamal , Yongsheng Pan , Lama Hewage Ravi Prathapa Chandrasiri , Sergey Virodov , Mohammad Raheel Khalid
IPC: H04N13/282 , H04N13/254 , G06T15/08 , H04N13/271
CPC classification number: H04N13/282 , G06T15/08 , H04N13/254 , H04N13/271
Abstract: An exemplary depth capture system emits a first structured light pattern onto a surface of an object included in a real-world scene using a first structured light emitter included within the depth capture system. The depth capture system also emits, concurrently with the emitting of the first structured light pattern, a second structured light pattern onto the surface of the object using a second structured light emitter included within the depth capture system. The emitting of the second structured light pattern is different than the emitting of the first structured light pattern. The depth capture system detects the first and second structured light patterns using one or more optical sensors included within the depth capture system. Based on the detection of the structured light patterns, the depth capture system generates depth data representative of the surface of the object included in the real-world scene.
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20.发明申请公开(公告)号：US20180124382A1
公开(公告)日：2018-05-03
申请号：US15339680
申请日：2016-10-31
Applicant: Verizon Patent and Licensing Inc.
Inventor： Steven L. Smith , Syed Meeran Kamal , Yongsheng Pan , Lama Hewage Ravi Prathapa Chandrasiri , Sergey Virodov , Mohammad Raheel Khalid
CPC classification number: H04N13/282 , G06T15/08 , H04N13/254 , H04N13/271
Abstract: An exemplary depth capture system (“system”) emits, from a first fixed position with respect to a real-world scene and within a first frequency band, a first structured light pattern onto surfaces of objects included in a real-world scene. The system also emits, from a second fixed position with respect to the real-world scene and within a second frequency band, a second structured light pattern onto the surfaces of the objects. The system detects the first and second structured light patterns using one or more optical sensors by way of first and second optical filters, respectively. The first and second optical filters are each configured to only pass one of the structured light patterns and to block the other. Based on the detection of the structured light patterns, the system generates depth data representative of the surfaces of the objects included in the real-world scene.
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