公开(公告)号：US20220244781A1

公开(公告)日：2022-08-04

申请号：US17674724

申请日：2022-02-17

Applicant: Magic Leap, Inc.

Inventor： Zhengyang Wu ,  Srivignesh Rajendran ,  Tarrence van As ,  Joelle Zimmermann ,  Vijay Badrinarayanan ,  Andrew Rabinovich

IPC: G06F3/01 ,  G06V10/26 ,  G06V40/18 ,  G06V10/82 ,  G06V10/774 ,  G02B27/00

Abstract: Techniques related to the computation of gaze vectors of users of wearable devices are disclosed. A neural network may be trained through first and second training steps. The neural network may include a set of feature encoding layers and a plurality of sets of task-specific layers that each operate on an output of the set of feature encoding layers. During the first training step, a first image of a first eye may be provided to the neural network, eye segmentation data may be generated using the neural network, and the set of feature encoding layers may be trained. During the second training step, a second image of a second eye may be provided to the neural network, network output data may be generated using the neural network, and the plurality of sets of task-specific layers may be trained.