Omnidirectional 3D shape measurement using Gabor digital holography and deep neural network

Author:

Yoshikawa Nobukazu

Abstract

Omnidirectional 3D measurement method has been extensively studied in various fields, including human body measurement, industrial product inspection, and 3D data creation for 3D printers. We have developed an omnidirectional 3D measurement method using Gabor digital holography (DH) and deep learning [1-3]. In this method, contour images of an object are obtained from reconstructed images of Gabor holograms captured from all directions. The 3D shape in all directions is restored by combining the contour information from all directions. Since DH is a lens-less imaging technique, accurate 3D shape can be obtained without distortion caused by lens aberrations.

Publisher

Optica Publishing Group

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