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Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

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Updated: Jun 5, 2025

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Published on: July 5, 2016

Monocular depth sensing using metalens.

Fan Yang¹, Hung-I Lin¹, Peng Chen²

¹Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Nanophotonics (Berlin, Germany)

|December 5, 2024

Summary

This summary is machine-generated.

This study introduces a novel polarization-multiplexed metalens for passive 3-D depth sensing. It achieves high-resolution depth perception and scene reconstruction using dual double-helix point-spread functions.

Keywords:

depth sensing double-helix metalens metasurface

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Area of Science:

Optics and Photonics
Computer Vision
Materials Science

Background:

3-D depth sensing is crucial for robotics and consumer electronics.
Passive sensing offers advantages in power consumption and system complexity over active methods.
Double-helix (DH) point-spread-function (PSF) techniques provide high depth estimation precision.

Purpose of the Study:

To propose and experimentally implement a polarization-multiplexed DH metalens for monocular depth perception.
To develop a reconstruction algorithm for concurrent depth calculation and scene reconstruction.
To demonstrate high-resolution 3-D scene reconstruction with minimal distortion.

Main Methods:

Design of a polarization-multiplexed DH metalens using an autonomous direct search algorithm.
Encoding two contra-rotating DH PSFs in orthogonal polarization states.
Development and application of a novel reconstruction algorithm for depth and scene analysis.

Main Results:

Successful experimental implementation of the polarization-multiplexed DH metalens.
Demonstration of concurrent depth calculation and scene reconstruction.
Achieved high resolution and minimal distortion in all three dimensions for 3-D perception.

Conclusions:

The proposed polarization-multiplexed DH metalens enables efficient and precise passive 3-D depth sensing.
The developed reconstruction algorithm effectively processes the DH PSFs for accurate scene reconstruction.
This technology has significant potential for advancing applications requiring advanced depth perception.