Polarized 3D: High-Quality Depth Sensing with Polarization Cues
Author(s)
Kadambi, Achuta; Taamazyan, Vage; Shi, Boxin; Raskar, Ramesh
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Coarse depth maps can be enhanced by using the shape information from polarization cues. We propose a framework to combine surface normals from polarization (hereafter polarization normals) with an aligned depth map. Polarization normals have not been used for depth enhancement before. This is because polarization normals suffer from physics-based artifacts, such as azimuthal ambiguity, refractive distortion and fronto-parallel signal degradation. We propose a framework to overcome these key challenges, allowing the benefits of polarization to be used to enhance depth maps. Our results demonstrate improvement with respect to state-of-the-art 3D reconstruction techniques.
Date issued
2015Department
Massachusetts Institute of Technology. Media LaboratoryJournal
Proceedings of the 2015 International Conference on Computer Vision
Publisher
Computer Vision Foundation
Citation
Kadambi, Achuta, Vage Taamazyan, Boxin Shi, and Ramesh Raskar. "Polarized 3D: High-Quality Depth Sensing with Polarization Cues." 2015 International Conference on Computer Vision (2015).
Version: Author's final manuscript