Spatiotemporal-Memory-Guided Machine Perception for Augmented Reality

Jianzhe Lin, Shaoyu Chen, Bea Steers, Huy T. Vo, Claudio T. Silva, Qi Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Augmented Reality (AR) devices are equipped with advanced sensors such as panoramic cameras. They can see or hear what humans cannot. The superior sensing capabilities - together with machine perception models - enable promising AR-based human assistants in daily tasks. Human task performance progressively enhances with accumulated memory, such as with observed objects' location in working memory, and training in long-term memory. We transform this cognitive nature into real-time machine perception models tailored for human-assisting AR applications. Instead of running machine perception models on each consecutive frame, we leverage the egocentric AR cameras to reconstruct a '4D memory map', which mimics the human spatiotemporal memory.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages787-788
Number of pages2
ISBN (Electronic)9798350348392
DOIs
StatePublished - 2023
Event2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 - Shanghai, China
Duration: Mar 25 2023Mar 29 2023

Publication series

NameProceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023

Conference

Conference2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023
Country/TerritoryChina
CityShanghai
Period3/25/233/29/23

Keywords

  • Modeling and Simulation
  • Perception and cognition
  • cognitive nature
  • memory
  • real time machine perception

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction
  • Media Technology

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