TR2011-034

The Light-Path Less Traveled


    •  Ramalingam, S., Bouaziz, S., Sturm, P., Torr, P., "The Light-Path Less Traveled", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2011, pp. :3145-3152.
      BibTeX TR2011-034 PDF
      • @inproceedings{Ramalingam2011jun,
      • author = {Ramalingam, S. and Bouaziz, S. and Sturm, P. and Torr, P.},
      • title = {The Light-Path Less Traveled},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2011,
      • pages = {:3145--3152},
      • month = jun,
      • issn = {1063-6919},
      • url = {https://www.merl.com/publications/TR2011-034}
      • }
  • Research Area:

    Computer Vision

Abstract:

This paper extends classical object pose and relative camera motion estimation algorithms for imaging sensors sampling the scene through light-paths. Many algorithms in multi-view geometry assume that every pixel observes light traveling in a single line in space. We wish to relax this assumption and address various theoretical and practical issues in modeling camera rays as piece-wise linear-paths. Such paths consisting of finitely many linear segments are typical of any simple camera configuration with reflective and refractive elements. Our main contribution is to propose efficient algorithms that can work with the complete light-path without knowing the correspondence between their individual segments and the scene points. Second, we investigate light-paths containing infinitely many and small piece-wise linear segments that can be modeled using simple parametric curves such as conics. We show compelling simulations and real experiments, involving catadioptric configurations and mirages, to validate our study.

 

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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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