• Patent Title: TRAINING AND DEPLOYING POSE REGRESSIONS IN NEURAL NETWORKS IN AUTONOMOUS MACHINES
  • Application No.: US16326005
    Application Date: 2016-09-09
  • Publication No.: US20210374987A1
    Publication Date: 2021-12-02
  • Inventor: Liwei MA
  • Applicant: Intel Corporation
  • Applicant Address: US CA Santa Clara
  • Assignee: Intel Corporation
  • Current Assignee: Intel Corporation
  • Current Assignee Address: US CA Santa Clara
  • International Application: PCT/CN2016/098543 WO 20160909
  • Main IPC: G06T7/73
  • IPC: G06T7/73 G06N3/08
TRAINING AND DEPLOYING POSE REGRESSIONS IN NEURAL NETWORKS IN AUTONOMOUS MACHINES
Abstract:
A mechanism is described for facilitating training and deploying of pose regression in neural networks in autonomous machines. A method, as described herein, includes facilitating capturing, by an image capturing device of a computing device, one or more images of one or more objects, where the one or more images include one or more training images associated with a neural network. The method may further include continuously estimating, in real-time, a present orientation of the computing device, where estimating includes continuously detecting a real-time view field as viewed by the image capturing device and based on the one or more images. The method may further include applying pose regression relating to the image capturing device using the real-time view field.
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