Presentation
15 June 2023 Meta-optic accelerators for image processing and object classification
Author Affiliations +
Abstract
We demonstrate meta-optic based accelerators that can off-load computationally expensive operations into high-speed and low-power optics. The key to these architectures are the new freedoms afforded by metasurfaces such as optical edge isolation, polarization discrimination, and the ability to spatially multiplex, and demultiplex, information channels. I will discuss how these freedoms can be utilized for accelerating optical segmentation networks and objection classifiers, both based on incoherent illumination. This approach could enable compact, high-speed, and low-power image and information processing systems for a wide range of applications in machine-vision and artificial intelligence.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason G. Valentine "Meta-optic accelerators for image processing and object classification", Proc. SPIE PC12514, Image Sensing Technologies: Materials, Devices, Systems, and Applications X, PC125140D (15 June 2023); https://doi.org/10.1117/12.2663483
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KEYWORDS
Image classification

Image processing

Classification systems

Hybrid optics

Digital image processing

Image segmentation

Imaging systems

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