{
  "id": "1912.09923",
  "version": "v1",
  "published": "2019-12-20T16:34:56.000Z",
  "updated": "2019-12-20T16:34:56.000Z",
  "title": "A Calibration Scheme for Non-Line-of-Sight Imaging Setups",
  "authors": [
    "Jonathan Klein",
    "Martin Laurenzis",
    "Matthias B. Hullin",
    "Julian Iseringhausen"
  ],
  "categories": [
    "eess.IV",
    "cs.CV"
  ],
  "abstract": "The recent years have given rise to a large number of techniques for \"looking around corners\", i.e., for reconstructing occluded objects from time-resolved measurements of indirect light reflections off a wall. While the direct view of cameras is routinely calibrated in computer vision applications, the calibration of non-line-of-sight setups has so far relied on manual measurement of the most important dimensions (device positions, wall position and orientation, etc.). In this paper, we propose a semi-automatic method for calibrating such systems that relies on mirrors as known targets. A roughly determined initialization is refined in order to optimize a spatio-temporal consistency. Our system is general enough to be applicable to a variety of sensing scenarios ranging from single sources/detectors via scanning arrangements to large-scale arrays. It is robust towards bad initialization and the achieved accuracy is proportional to the depth resolution of the camera system. We demonstrate this capability with a real-world setup and despite a large number of dead pixels and very low temporal resolution achieve a result that outperforms a manual calibration.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2019-12-20T16:34:56.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "non-line-of-sight imaging setups",
      "calibration scheme",
      "large number",
      "low temporal resolution achieve",
      "indirect light reflections"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}