Presentation
3 October 2024 Machine vision with binocular meta-lens
Author Affiliations +
Abstract
Meta-lenses are advanced flat optical devices composed of artificial nanoantenna arrays. It manipulates the wavefront of light with the advantages of ultrathin, compact, and no spherical aberration. We have developed a series of intelligent machine vision systems with binocular meta-lens for the novel applications of particle image velocimetry (PIV), underwater stereo vision, edge-enhanced depth perception for ill-posed regions, and assisted driving vision. Meta-lens PIV demonstrates a new development trend for the PIV technique for rejuvenating traditional flow diagnostic tools toward a more compact, easy-to-deploy technique. A novel stereo-matching neural network, H-Net, was proposed to derive the disparity information, which incorporates the cross-pixel and cross-view interaction operations. The developed machine vision systems facilitated underwater imaging and assisted driving vision. With binocular meta-lens, multimodal perceptions are provided for machine vision systems in various novel applications.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoyuan Liu, Mu Ku Chen, Takuo Tanaka, and Din Ping Tsai "Machine vision with binocular meta-lens", Proc. SPIE PC13111, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XXII, PC131111G (3 October 2024); https://doi.org/10.1117/12.3024457
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KEYWORDS
Machine vision

Imaging systems

Binocular vision

Stereo vision systems

3D image processing

3D metrology

Intelligence systems

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