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1.
公开(公告)号:US20200034624A1
公开(公告)日:2020-01-30
申请号:US16520582
申请日:2019-07-24
Applicant: MAGIC LEAP, INC.
Inventor: Divya SHARMA , Ali SHAHROKNI , Anush MOHAN , Prateek SINGHAL , Xuan ZHAO , Sergiu SIMA , Benjamin LANGMANN
Abstract: An apparatus configured to be worn on a head of a user, includes: a screen configured to present graphics to the user; a camera system configured to view an environment in which the user is located; and a processing unit configured to determine a map based at least in part on output(s) from the camera system, wherein the map is configured for use by the processing unit to localize the user with respect to the environment; wherein the processing unit of the apparatus is also configured to obtain a metric indicating a likelihood of success to localize the user using the map, and wherein the processing unit is configured to obtain the metric by computing the metric or by receiving the metric.
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公开(公告)号:US20230290132A1
公开(公告)日:2023-09-14
申请号:US18007288
申请日:2021-07-28
Applicant: Magic Leap, Inc.
Inventor: Siddharth MAHENDRAN , Nitin BANSAL , Nitesh SEKHAR , Manushree GANGWAR , Khushi GUPTA , Prateek SINGHAL , Tarrence VAN AS , Adithya Shricharan Srinivasa RAO
IPC: G06V10/82 , G06V10/764
CPC classification number: G06V10/82 , G06V10/764
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an object recognition neural network using multiple data sources. One of the methods includes receiving training data that includes a plurality of training images from a first source and images from a second source. A set of training images are obtained from the training data. For each training image in the set of training images, contrast equalization is applied to the training image to generate a modified image. The modified image is processed using the neural network to generate an object recognition output for the modified image. A loss is determined based on errors between, for each training image in the set, the object recognition output for the modified image generated from the training image and ground-truth annotation for the training image. Parameters of the neural network are updated based on the determined loss.
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3.
公开(公告)号:US20230273676A1
公开(公告)日:2023-08-31
申请号:US18314289
申请日:2023-05-09
Applicant: MAGIC LEAP, INC.
Inventor: Divya SHARMA , Ali SHAHROKNI , Anush MOHAN , Prateek SINGHAL , Xuan ZHAO , Sergiu SIMA , Benjamin LANGMANN
CPC classification number: G06F3/011 , G06T19/006 , G06F1/163 , G06T15/005 , G06V20/20
Abstract: An apparatus configured to be worn on a head of a user, includes: a screen configured to present graphics to the user; a camera system configured to view an environment in which the user is located; and a processing unit configured to determine a map based at least in part on output(s) from the camera system, wherein the map is configured for use by the processing unit to localize the user with respect to the environment; wherein the processing unit of the apparatus is also configured to obtain a metric indicating a likelihood of success to localize the user using the map, and wherein the processing unit is configured to obtain the metric by computing the metric or by receiving the metric.
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4.
公开(公告)号:US20220036078A1
公开(公告)日:2022-02-03
申请号:US17500798
申请日:2021-10-13
Applicant: MAGIC LEAP, INC.
Inventor: Divya SHARMA , Ali SHAHROKNI , Anush MOHAN , Prateek SINGHAL , Xuan ZHAO , Sergiu SIMA , Benjamin LANGMANN
Abstract: An apparatus configured to be worn on a head of a user, includes: a screen configured to present graphics to the user; a camera system configured to view an environment in which the user is located; and a processing unit configured to determine a map based at least in part on output(s) from the camera system, wherein the map is configured for use by the processing unit to localize the user with respect to the environment; wherein the processing unit of the apparatus is also configured to obtain a metric indicating a likelihood of success to localize the user using the map, and wherein the processing unit is configured to obtain the metric by computing the metric or by receiving the metric.
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