A Meta-Device for Intelligent Depth Perception

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

74 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Article number2107465
Journal / PublicationAdvanced Materials
Volume35
Issue number34
Online published20 Aug 2022
Publication statusPublished - 24 Aug 2023

Link(s)

Abstract

The optical illusion affects depth-sensing due to the limited and specific light-field information acquired by single-lens imaging. The incomplete depth information or visual deception would cause cognitive errors. To resolve this problem, an intelligent and compact depth-sensing meta-device that is miniaturized, integrated, and applicable for diverse scenes in all light levels is demonstrated. The compact and multifunction stereo vision system adopts an array with 3600 achromatic meta-lenses and a size of 1.2 × 1.2 mm2 to measure the depth over a 30 cm range with deep-learning support. The meta-lens array can act as multiple imaging lenses to collect light field information. It can also work with a light source as an active optical device to project a structured light. The meta-lens array can serve as the core functional component of a light-field imaging system under bright conditions or a structured-light projection system in the dark. The depth information in both ways can be analyzed and extracted by the convolutional neural network. This work provides a new avenue for the applications such as autonomous driving, machine vision, human–computer interaction, augmented reality, biometric identification, etc. © 2022 Wiley-VCH GmbH.

Research Area(s)

  • deep learning, depth perception, light field imaging, meta-lens, neural networks, structured light, LIDAR

Citation Format(s)

A Meta-Device for Intelligent Depth Perception. / Chen, Mu Ku; Liu, Xiaoyuan; Wu, Yongfeng et al.
In: Advanced Materials, Vol. 35, No. 34, 2107465, 24.08.2023.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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