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公开(公告)号:US10671842B2
公开(公告)日:2020-06-02
申请号:US15882309
申请日:2018-01-29
Applicant: Google LLC
Inventor: Shiqi Chen , Rong Liu , Rohit Pandey , Marie White , Xue Wang , Pavlo Pidlypenskyi
Abstract: In at least one aspect, a method can include generating a respective set of training set of images for each label in a handedness model by: receiving the label at an image capturing device, obtaining a set of captured images by recording a pass-through image of a user placing a target object within an overlay of a bounding area animation, the target object corresponding with the label, and associating the label with each image in the set of captured images. The method includes training, using the training images, the handedness model to provide a correct label for an input image.
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公开(公告)号:US20190236344A1
公开(公告)日:2019-08-01
申请号:US15882309
申请日:2018-01-29
Applicant: Google LLC
Inventor: Shiqi Chen , Rong Liu , Rohit Pandey , Marie White , Xue Wang , Pavlo Pidlypenskyi
CPC classification number: G06K9/00355 , G06F3/011 , G06F3/017 , G06F3/0346 , G06K9/00671 , G06K9/3233 , G06K9/6256 , G06K9/6273 , G06K9/66
Abstract: In at least one aspect, a method can include generating a respective set of training set of images for each label in a handedness model by: receiving the label at an image capturing device, obtaining a set of captured images by recording a pass-through image of a user placing a target object within an overlay of a bounding area animation, the target object corresponding with the label, and associating the label with each image in the set of captured images. The method includes training, using the training images, the handedness model to provide a correct label for an input image.
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