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Neuromorphic fringe projection profilometry

Mangalore, AR and Seelamantula, CS and Thakur, CS (2020) Neuromorphic fringe projection profilometry. In: IEEE Signal Processing Letters, 27 . pp. 1510-1514.

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Official URL: https://doi.org/10.1109/LSP.2020.3016251


We address the problem of 3-D reconstruction using neuromorphic cameras (also known as event-driven cameras), which are a new class of vision-inspired imaging devices. Neuromorphic cameras are becoming increasingly popular for solving image processing and computer vision problems as they have significantly lower data rates than conventional frame-based cameras. We develop a neuromorphic-camera-based Fringe Projection Profilometry (FPP) system.We use theDynamicVision Sensor (DVS) in the DAVIS346 neuromorphic camera for acquiring measurements. Neuromorphic FPP is faster than a single-line-scanning method. Also, unlike frame-based FPP, the efficacy of the proposed method is not limited by the background while acquiring measurements. The working principle of the DVS also allows one to efficiently handle shadows thereby preventing ambiguities during 2-D phase unwrapping. © 2020 IEEE.

Item Type: Journal Article
Publication: IEEE Signal Processing Letters
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Image processing; Profilometry, 3D reconstruction; Camera-based; Event-driven; Fringe projection profilometry; Image processing and computer vision; Imaging device; Neuromorphic; Phase unwrapping, Cameras
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Division of Electrical Sciences > Electrical Engineering
Date Deposited: 23 Jul 2021 11:39
Last Modified: 23 Jul 2021 11:39
URI: http://eprints.iisc.ac.in/id/eprint/68985

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