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公开(公告)号:US20220301175A1
公开(公告)日:2022-09-22
申请号:US17835538
申请日:2022-06-08
Applicant: Snap Inc.
Inventor: Piers Cowburn , David Li , Isac Andreas Müller Sandvik , Qi Pan , Andrew Tristan Spek
Abstract: Methods, systems, and devices for generating a persistent world-space ground (or floor) segmentation map (or “texture”) for use in augmented or virtual reality 3D experiences.
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公开(公告)号:US20220230351A1
公开(公告)日:2022-07-21
申请号:US17714720
申请日:2022-04-06
Applicant: Snap Inc.
Inventor: Patrick Fox-Roberts , Richard McCormack , Qi Pan , Edward James Rosten
Abstract: The pose of a wide-angle image is determined by dewarping regions of the wide-angle image, determining estimated poses of the dewarped regions of the wide-angle image and deriving a pose of the wide-angle image from the estimated poses of the of the dewarped regions. The estimated poses of the dewarped regions may be determined by comparing features in the dewarped regions with features in prior dewarped regions from one or more prior wide-angle images, as well as by comparing features in the dewarped regions with features in a point cloud.
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公开(公告)号:US11361493B2
公开(公告)日:2022-06-14
申请号:US17030755
申请日:2020-09-24
Applicant: Snap Inc.
Inventor: Piers Cowburn , David Li , Isac Andreas Müller Sandvik , Qi Pan
IPC: G06T7/11 , G06T15/04 , G06T17/20 , G06K9/62 , G06V30/262
Abstract: A semantic texture map system to generate a semantic texture map based on a 3D model that comprises a plurality of vertices that include coordinate that indicate positions of the plurality of vertices, a UV map, and a semantic segmentation image that comprises a set of semantic labels.
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公开(公告)号:US20210375054A1
公开(公告)日:2021-12-02
申请号:US17083722
申请日:2020-10-29
Applicant: Snap Inc.
Inventor: Qi Pan , Edward James Rosten , Andrew Tristan Spek , Supannee Tanathong
Abstract: An augmented reality device generates an updated position and orientation (pose) value by initially determining, using image-based processing, a pose estimate from a current image frame, a previous image frame and a previous pose. An IMU pose is then obtained from data generated by an inertial measurement unit including motion sensors, and transformation between the pose estimate and the IMU pose is determined. The transformation is applied to the pose estimate to generate a pose update. Media content is applied to a position within an image, the position being based on the pose update.
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