TR2011-036

Structured Light 3D Scanning in the Presence of Global Illumination


    •  Gupta, M., Agrawal, A., Veeraraghavan, A., Narasimhan, S., "Structured Light 3D Scanning in the Presence of Global Illumination", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/​CVPR.2011.5995321, June 2011.
      BibTeX TR2011-036 PDF
      • @inproceedings{Gupta2011jun,
      • author = {Gupta, M. and Agrawal, A. and Veeraraghavan, A. and Narasimhan, S.},
      • title = {Structured Light 3D Scanning in the Presence of Global Illumination},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2011,
      • month = jun,
      • doi = {10.1109/CVPR.2011.5995321},
      • url = {https://www.merl.com/publications/TR2011-036}
      • }
  • Research Area:

    Computer Vision

Abstract:

Global illumination effects such as inter-reflections, diffusion and sub-surface scattering severely degrade the performance of structured light-based 3D scanning. In this paper, we analyze the errors caused by global illumination in structured light-based shape recovery. Based on this analysis, we design structured light patterns that are resilient to individual global illumination effects using simple logical operations and tools from combinatorial mathematics. Scenes exhibiting multiple phenomena are handled by combining results from a small ensemble of such patterns. This combination also allows us to detect any residual errors that are corrected by acquiring a few additional images. Our techniques do not require explicit separation of the direct and global components of scene radiance and hence work even in scenarios where the separation fails or the direct component is too low. Our methods can be readily incorporated into existing scanning systems without significant overhead in terms of capture time or hardware. We show results on a variety of scenes with complex shape and material properties and challenging global illumination effects.

 

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    •  NEWS    CVPR 2011: 6 publications by Yuichi Taguchi, Srikumar Ramalingam, Amit K. Agrawal and C. Oncel Tuzel
      Date: June 21, 2011
      Where: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
      Research Area: Computer Vision
      Brief
      • The papers "Entropy Rate Superpixel Segmentation" by Liu, M.-Y., Tuzel, O., Ramalingam, S. and Chellappa, R., "Structured Light 3D Scanning in the Presence of Global Illumination" by Gupta, M., Agrawal, A., Veeraraghavan, A. and Narasimhan, S., "CrossTrack: Robust 3D Tracking from Two Cross-Sectional Views" by Hussein, M., Porikli, F., Li, R. and Arsian, S., "P2C2: Programmable Pixel Compressive Camera for High Speed Imaging" by Reddy, D., Veeraraghavan, A. and Chellappa, R., "Beyond Alhazen's Problem: Analytical Projection Model for Non-Central Catadioptric Cameras with Quadric Mirrors" by Agrawal, A., Taguchi, Y. and Ramalingam, S. and "The Light-Path Less Traveled" by Ramalingam, S., Bouaziz, S., Sturm, P. and Torr, P. were presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
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