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Polarized 3D: synthesis of polarization and depth cues for enhanced 3D sensing

Published: 31 July 2015 Publication History

Abstract

Coarse depth maps can be enhanced by using the shape information from polarization cues. We propose a fusion of polarization and depth, a synergistic technique to exploit the high lateral resolution and compensate for the low depth resolution of traditional sensors. Although the fusion of depth and photometric normals is not new, existing frameworks cannot handle the unique challenge of fusing normals from polarization. Specific challenges we address include azimuthal ambiguity, refractive distortion, fronto-parallel surfaces, and depth discontinuities. In this project we validate our algorithmic framework for depth enhancement through a low-cost prototype that compares favorably with other depth sensors.

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References

[1]
Atkinson, G. A., and Hancock, E. R. 2006. Recovery of surface orientation from diffuse polarization. IEEE Transactions on Image Processing 15, 6, 1653--1664.
[2]
Nguyen, N. J. M. A. 2003. Estimating surface normals in noisy point cloud data. In Proceedings of Symposium on Computational Geometry, 322--328.
[3]
Saito, M., Sato, Y., Ikeuchi, K., and Kashiwagi, H. 1999. Measurement of surface orientations of transparent objects using polarization in highlight. In Proceedings of IEEE CVPR, 381--386.

Cited By

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  • (2024)Polarized Three-Dimensional Reconstruction of Maritime Targets Through Zenith Angle Estimation from Specular and Diffuse ReflectionsApplied Sciences10.3390/app14221057914:22(10579)Online publication date: 16-Nov-2024
  • (2024)Robust Depth Enhancement via Polarization Prompt Fusion Tuning2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.01957(20710-20720)Online publication date: 16-Jun-2024
  • (2022)Accurate Passive 3D Polarization Face Reconstruction under Complex Conditions Assisted with Deep LearningPhotonics10.3390/photonics91209249:12(924)Online publication date: 30-Nov-2022
  • Show More Cited By

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  1. Polarized 3D: synthesis of polarization and depth cues for enhanced 3D sensing

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      cover image ACM Conferences
      SIGGRAPH '15: SIGGRAPH 2015: Studio
      July 2015
      218 pages
      ISBN:9781450336376
      DOI:10.1145/2785585
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 31 July 2015

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      Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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      View all
      • (2024)Polarized Three-Dimensional Reconstruction of Maritime Targets Through Zenith Angle Estimation from Specular and Diffuse ReflectionsApplied Sciences10.3390/app14221057914:22(10579)Online publication date: 16-Nov-2024
      • (2024)Robust Depth Enhancement via Polarization Prompt Fusion Tuning2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.01957(20710-20720)Online publication date: 16-Jun-2024
      • (2022)Accurate Passive 3D Polarization Face Reconstruction under Complex Conditions Assisted with Deep LearningPhotonics10.3390/photonics91209249:12(924)Online publication date: 30-Nov-2022
      • (2020)Deep Shape from PolarizationComputer Vision – ECCV 202010.1007/978-3-030-58586-0_33(554-571)Online publication date: 23-Aug-2020
      • (2017)Depth Sensing Using Geometrically Constrained Polarization NormalsInternational Journal of Computer Vision10.1007/s11263-017-1025-7125:1-3(34-51)Online publication date: 1-Dec-2017
      • (2015)Depth FieldsProceedings of the 2015 International Conference on 3D Vision10.1109/3DV.2015.8(1-9)Online publication date: 19-Oct-2015

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