{
  "id": "1804.07926",
  "version": "v1",
  "published": "2018-04-21T09:36:33.000Z",
  "updated": "2018-04-21T09:36:33.000Z",
  "title": "Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors",
  "authors": [
    "Jihua Zhu",
    "Siyu Xu",
    "Zutao Jiang",
    "Shanmin Pang",
    "Jun Wang",
    "Zhongyu Li"
  ],
  "categories": [
    "cs.CV",
    "cs.RO"
  ],
  "abstract": "This paper proposes a global approach for the multi-view registration of unordered range scans. As the basis of multi-view registration, pair-wise registration is very pivotal. Therefore, we first select a good descriptor and accelerate its correspondence propagation for the pair-wise registration. Then, we design an effective rule to judge the reliability of pair-wise registration results. Subsequently, we propose a model augmentation method, which can utilize reliable results of pair-wise registration to augment the model shape. Finally, multi-view registration can be accomplished by operating the pair-wise registration and judgment, and model augmentation alternately. Experimental results on public available data sets show, that this approach can automatically achieve the multi-view registration of unordered range scans with good accuracy and effectiveness.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2018-04-21T09:36:33.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "unordered range scans",
      "multi-view registration",
      "fast correspondence propagation",
      "pair-wise registration",
      "multi-scale descriptors"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}