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Non-line-of-sight object location estimation from scattered light using plenoptic data.

Takahiro Sasaki, James R Leger

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|March 10, 2021

Summary

This study uses plenoptic data to locate non-line-of-sight (NLOS) objects by analyzing scattered light. A novel spatial frequency filtering method achieves theoretically limited depth resolution for NLOS object detection.

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Area of Science:

Optics and Photonics
Computer Vision
Signal Processing

Background:

Non-line-of-sight (NLOS) object detection is challenging due to scattered light.
Plenoptic imaging captures light field information, offering potential for 3D scene reconstruction.
Existing methods may face limitations in resolution and computational efficiency.

Purpose of the Study:

To investigate the use of plenoptic data for NLOS object localization.
To derive resolution limits for depth and transversal location estimates.
To develop an efficient spatial frequency filtering method for improved NLOS detection.

Main Methods:

Fourier analysis was applied to scattering physics and measurement noise.
An alternative formulation of the projection slice theorem was derived.
A novel spatial frequency filtering method was developed on a mixed space frequency plane.

Main Results:

Theoretical resolution limits for depth and transversal location were established.
The proposed method achieves theoretically limited depth resolution.
Experimental validation confirmed the effectiveness of the approach.

Conclusions:

Plenoptic data is effective for NLOS object localization using scattered light.
The derived formulation and filtering method enhance location estimation accuracy.
This work advances NLOS imaging capabilities with improved resolution.