公开(公告)号：US10719951B2

公开(公告)日：2020-07-21

申请号：US16134600

申请日：2018-09-18

Applicant: Magic Leap, Inc.

Inventor： Adrian Kaehler ,  Douglas Bertram Lee ,  Vijay Badrinarayanan

IPC: G06K9/46 ,  G06T7/70 ,  G06T7/20 ,  G06F3/01 ,  G06F3/0481 ,  G06N3/02 ,  G02B27/01 ,  G06F3/0346 ,  G06T7/246 ,  G06F1/16 ,  G02B27/00 ,  G06T19/00

Abstract: Disclosed herein is a wearable display system for capturing retraining eye images of an eye of a user for retraining a neural network for eye tracking. The system captures retraining eye images using an image capture device when user interface (UI) events occur with respect to UI devices displayed at display locations of a display. The system can generate a retraining set comprising the retraining eye images and eye poses of the eye of the user in the retraining eye images (e.g., related to the display locations of the UI devices) and obtain a retrained neural network that is retrained using the retraining set.

公开(公告)号：US10255529B2

公开(公告)日：2019-04-09

申请号：US15457990

申请日：2017-03-13

Applicant: Magic Leap, Inc.

Inventor： Andrew Rabinovich ,  Vijay Badrinarayanan ,  Daniel DeTone ,  Srivignesh Rajendran ,  Douglas Bertram Lee ,  Tomasz Malisiewicz

IPC: G06K9/00 ,  G06K9/66 ,  G06K9/62 ,  G06K9/46

Abstract: The present disclosure provides an improved approach to implement structure learning of neural networks by exploiting correlations in the data/problem the networks aim to solve. A greedy approach is described that finds bottlenecks of information gain from the bottom convolutional layers all the way to the fully connected layers. Rather than simply making the architecture deeper, additional computation and capacitance is only added where it is required.

公开(公告)号：US20160241827A1

公开(公告)日：2016-08-18

申请号：US14992958

申请日：2016-01-11

Applicant: Magic Leap, Inc.

Inventor： Michael Kass ,  Douglas Bertram Lee

IPC: H04N9/31 ,  G06F3/01

CPC classification number: H04N9/3182 ,  G06F3/01 ,  G06F3/013 ,  H04N9/3111 ,  H04N9/312 ,  H04N9/3155 ,  H04N9/3164 ,  H04N9/67

Abstract: Described are improved approaches to implement color sequential displays that can mitigate problems with conventional display technologies. Color-breakup is mitigated by modifying the original color channels and adding one or more additional color channels derived from the original ones.

Abstract translation: 描述了实现可以减轻常规显示技术问题的彩色顺序显示的改进方法。 通过修改原始颜色通道并添加从原始颜色通道导出的一个或多个附加颜色通道来减轻色差。