Bayesian inference approach for Full Poincaré Mueller polarimetry

Suárez-Bermejo, Juan Carlos; Gorgas, Javier; Pascual, Sergio; Santarsiero, Massimo; de Sande, Juan Carlos González; Piquero, Gemma

doi:10.1016/j.optlastec.2023.109983

Optics & Laser Technology

2024

DOI: 10.1016/j.optlastec.2023.109983

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Bayesian inference approach for Full Poincaré Mueller polarimetry

Juan Carlos Suárez-Bermejo,

Javier Gorgas,

Sergio Pascual

et al.

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Polarimetric Imaging for Robot Perception: A Review

Taglione,

Mateo,

Stolz

2024

Sensors

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In recent years, the integration of polarimetric imaging into robotic perception systems has increased significantly, driven by the accessibility of affordable polarimetric sensors. This technology complements traditional color imaging by capturing and analyzing the polarization characteristics of light. This additional information provides robots with valuable insights into object shape, material composition, and other properties, ultimately enabling more robust manipulation tasks. This review aims to provide a comprehensive analysis of the principles behind polarimetric imaging and its diverse applications within the field of robotic perception. By exploiting the polarization state of light, polarimetric imaging offers promising solutions to three key challenges in robot vision: Surface segmentation; depth estimation through polarization patterns; and 3D reconstruction using polarimetric data. This review emphasizes the practical value of polarimetric imaging in robotics by demonstrating its effectiveness in addressing real-world challenges. We then explore potential applications of this technology not only within the core robotics field but also in related areas. Through a comparative analysis, our goal is to elucidate the strengths and limitations of polarimetric imaging techniques. This analysis will contribute to a deeper understanding of its broad applicability across various domains within and beyond robotics.

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Polarimetric Imaging for Robot Perception: A Review

Taglione,

Mateo,

Stolz

2024

Sensors

View full text Add to dashboard Cite

show abstract

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Bayesian inference approach for Full Poincaré Mueller polarimetry

Cited by 1 publication

References 55 publications

Polarimetric Imaging for Robot Perception: A Review

Polarimetric Imaging for Robot Perception: A Review

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