首页|Data-driven polarimetric approaches fuel computational imaging expansion

Data-driven polarimetric approaches fuel computational imaging expansion

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Incorporating polarization in computer vision tasks provides new solutions to high-level analytics,in particular when cou-pled with machine learning frameworks such as convolutional neural networks(CNN).A recent review in Opto-Electronic Science reports on the developments in data-driven polarimetric imaging,including polarimetric descattering,3D imag-ing,reflection removal,target detection and biomedical imaging.The review carefully analyzes these new trends with their advantages and disadvantages,and provides a general insight for future research and development.

Sylvain Gigan

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Laboratoire Kastler Brossel,École Normale Supérieure/PSL Research University,Paris 75005,France

2024

光电进展(英文版)

光电进展(英文版)

EI
ISSN:
年,卷(期):2024.7(9)