-
1.发明公开公开(公告)号：US20240046568A1
公开(公告)日：2024-02-08
申请号：US17879480
申请日：2022-08-02
Applicant: Palo Alto Research Center Incorporated
Inventor： Matthew A. Shreve , Jeyasri Subramanian
CPC classification number: G06T17/20 , G06V20/64 , G06T2219/004
Abstract: A system is provided which mixes static scene and live annotations for labeled dataset collection. A first recording device obtains a 3D mesh of a scene with physical objects. The first recording device marks, while in a first mode, first annotations for a physical object displayed in the 3D mesh. The system switches to a second mode. The system displays, on the first recording device while in the second mode, the 3D mesh including a first projection indicating a 2D bounding area corresponding to the marked first annotations. The first recording device marks, while in the second mode, second annotations for the physical object or another physical object displayed in the 3D mesh. The system switches to the first mode. The first recording device displays, while in the first mode, the 3D mesh including a second projection indicating a 2D bounding area corresponding to the marked second annotations.
-
公开(公告)号：US11431894B2
公开(公告)日：2022-08-30
申请号：US16783950
申请日：2020-02-06
Applicant: Palo Alto Research Center Incorporated
Inventor： Matthew A. Shreve , Raja Bala , Jeyasri Subramanian
Abstract: One embodiment can include a system for providing an image-capturing recommendation. During operation the system receives, from a mobile computing device, one or more images. The one or more images are captured by one or more cameras associated with the mobile computing device. The system analyzes the received images to obtain image-capturing conditions for capturing images of a target within a physical space; determines, based on the obtained image-capturing conditions and a predetermined image-quality requirement, one or more image-capturing settings; and recommends the determined one or more image-capturing settings to a user.
-
公开(公告)号：US20240087287A1
公开(公告)日：2024-03-14
申请号：US17940884
申请日：2022-09-08
Applicant: Palo Alto Research Center Incorporated
Inventor： Matthew A. Shreve , Robert R. Price , Jeyasri Subramanian , Sumeet Menon
IPC: G06V10/764 , G06V10/26 , G06V10/774 , G06V10/776 , G06V10/82 , G06V20/40
CPC classification number: G06V10/764 , G06V10/26 , G06V10/7753 , G06V10/776 , G06V10/82 , G06V20/41
Abstract: A system determines an input video and a first annotated image from the input video which identifies an object of interest. The system initiates a tracker based on the first annotated image and the input video. The tracker generates, based on the first annotated image and the input video, information including: a sliding window for false positives; a first set of unlabeled images from the input video; and at least two images with corresponding labeled states. A semi-supervised classifier classifies, based on the information, the first set of unlabeled images from the input video. If a first unlabeled image is classified as a false positive, the system reinitiates the tracker based on a second annotated image occurring in a frame prior to a frame with the false positive. The system generates an output video comprising the input video displayed with tracking on the object of interest.
-
公开(公告)号：US20220335239A1
公开(公告)日：2022-10-20
申请号：US17233365
申请日：2021-04-16
Applicant: PALO ALTO RESEARCH CENTER INCORPORATED
Inventor： Matthew Shreve , Raja Bala , Jeyasri Subramanian
IPC: G06K9/00 , G06F16/58 , G06F16/535 , G06F16/55 , G06F16/538 , G06K9/62
Abstract: A method of image annotation includes selecting a plurality of annotation models related to an annotation task for an image, obtaining a candidate annotation map for the image from each of the plurality of annotation models, and selecting at least one of the candidate annotation maps to be displayed via a user interface, the candidate annotation maps comprising suggested annotations for the image. The method further includes receiving user selections or modifications of at least one of the suggested annotations from the candidate annotation map and generating a final annotation map based on the user selections or modifications.
-
Patent Agency Ranking
公开(公告)号：US12223595B2
公开(公告)日：2025-02-11
申请号：US17879480
申请日：2022-08-02
Applicant: Palo Alto Research Center Incorporated
Inventor： Matthew A. Shreve , Jeyasri Subramanian
Abstract: A system is provided which mixes static scene and live annotations for labeled dataset collection. A first recording device obtains a 3D mesh of a scene with physical objects. The first recording device marks, while in a first mode, first annotations for a physical object displayed in the 3D mesh. The system switches to a second mode. The system displays, on the first recording device while in the second mode, the 3D mesh including a first projection indicating a 2D bounding area corresponding to the marked first annotations. The first recording device marks, while in the second mode, second annotations for the physical object or another physical object displayed in the 3D mesh. The system switches to the first mode. The first recording device displays, while in the first mode, the 3D mesh including a second projection indicating a 2D bounding area corresponding to the marked second annotations.
-
公开(公告)号：US11068746B2
公开(公告)日：2021-07-20
申请号：US16235697
申请日：2018-12-28
Applicant: Palo Alto Research Center Incorporated
Inventor： Raja Bala , Matthew Shreve , Jeyasri Subramanian , Pei Li
Abstract: A method for predicting the realism of an object within an image includes generating a training image set for a predetermined object type. The training image set comprises one or more training images at least partially generated using a computer. A pixel level training spatial realism map is generated for each training image of the one or more training images. Each training spatial realism map configured to represent a perceptual realism of the corresponding training image. A predictor is trained using the training image set and the corresponding training spatial realism maps. An image of the predetermined object is received. A spatial realism map of the received image is produced using the trained predictor.
-
公开(公告)号：US11810396B2
公开(公告)日：2023-11-07
申请号：US17233365
申请日：2021-04-16
Applicant: PALO ALTO RESEARCH CENTER INCORPORATED
Inventor： Matthew Shreve , Raja Bala , Jeyasri Subramanian
IPC: G06F16/535 , G06V40/16 , G06F16/58 , G06F16/55 , G06F16/538 , G06F18/214 , G06V10/774
CPC classification number: G06V40/169 , G06F16/535 , G06F16/538 , G06F16/55 , G06F16/5866 , G06F18/214 , G06V10/774 , G06V40/164
Abstract: A method of image annotation includes selecting a plurality of annotation models related to an annotation task for an image, obtaining a candidate annotation map for the image from each of the plurality of annotation models, and selecting at least one of the candidate annotation maps to be displayed via a user interface, the candidate annotation maps comprising suggested annotations for the image. The method further includes receiving user selections or modifications of at least one of the suggested annotations from the candidate annotation map and generating a final annotation map based on the user selections or modifications.
-
公开(公告)号：US20210250492A1
公开(公告)日：2021-08-12
申请号：US16783950
申请日：2020-02-06
Applicant: Palo Alto Research Center Incorporated
Inventor： Matthew A. Shreve , Raja Bala , Jeyasri Subramanian
Abstract: One embodiment can include a system for providing an image-capturing recommendation. During operation the system receives, from a mobile computing device, one or more images. The one or more images are captured by one or more cameras associated with the mobile computing device. The system analyzes the received images to obtain image-capturing conditions for capturing images of a target within a physical space; determines, based on the obtained image-capturing conditions and a predetermined image-quality requirement, one or more image-capturing settings; and recommends the determined one or more image-capturing settings to a user.
-
公开(公告)号：US20200210770A1
公开(公告)日：2020-07-02
申请号：US16235697
申请日：2018-12-28
Applicant: Palo Alto Research Center Incorporated
Inventor： Raja Bala , Matthew Shreve , Jeyasri Subramanian , Pei Li
Abstract: A method for predicting the realism of an object within an image includes generating a training image set for a predetermined object type. The training image set comprises one or more training images at least partially generated using a computer. A pixel level training spatial realism map is generated for each training image of the one or more training images. Each training spatial realism map configured to represent a perceptual realism of the corresponding training image. A predictor is trained using the training image set and the corresponding training spatial realism maps. An image of the predetermined object is received. A spatial realism map of the received image is produced using the trained predictor.
-
-
-
-
-
-
-
-
Search Results
9
records
(took 0.036 seconds)
