Detection of object existence from a single reconstructed plane obtained by integral imaging

Doron Aloni; Yitzhak Yitzhaky

doi:10.1109/LPT.2014.2304883

Detection of object existence from a single reconstructed plane obtained by integral imaging

Doron Aloni, Yitzhak Yitzhaky

Unit of Photonics and Electro-Optics Engineering

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

We use 3D computational reconstructed integral imaging to detect the existence objects at a 3D space. In order to find the precise location of the objects, we apply an efficient wavelet-based filtering with adaptive thresholding to identify and outline focused regions, which relate to object surfaces located at a single examined reconstructed plane. Finally, we present experimental results of 3D object detection, both in good illumination and under photon-starved conditions.

Original language	English
Article number	6739118
Pages (from-to)	726-728
Number of pages	3
Journal	IEEE Photonics Technology Letters
Volume	26
Issue number	7
DOIs	https://doi.org/10.1109/LPT.2014.2304883
State	Published - 1 Apr 2014

Keywords

Three-dimensional image acquisition
image analysis
nonlinear filters
object detection

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

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10.1109/LPT.2014.2304883

Cite this

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AB - We use 3D computational reconstructed integral imaging to detect the existence objects at a 3D space. In order to find the precise location of the objects, we apply an efficient wavelet-based filtering with adaptive thresholding to identify and outline focused regions, which relate to object surfaces located at a single examined reconstructed plane. Finally, we present experimental results of 3D object detection, both in good illumination and under photon-starved conditions.

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KW - object detection

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Detection of object existence from a single reconstructed plane obtained by integral imaging

Abstract

Keywords

ASJC Scopus subject areas

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