• DocumentCode
    2071821
  • Title

    Fast landmark-based registration via deterministic and efficient processing, some preliminary results

  • Author

    DePiero, Fred

  • Author_Institution
    CalPoly State Univ., San Luis Obispo, CA, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    544
  • Lastpage
    548
  • Abstract
    Preliminary results of a method for range view registration are presented. The method incorporates the LeRP algorithm, which is a deterministic means to approximate subgraph isomorphisms. Graphs are formed that describe salient scene features. Graph matching then provides the scene-to-scene correspondence necessary for registration. A graphical representation is invariant with respect to sensor standoff. Test results from real and synthetic images indicate that a reasonable tradeoff between speed and accuracy is achievable. A mean rotational error of ∼1 degree was found for a variety of test cases. Mean compute times were found to be better than 2 Hz, with image sizes varying from 128×200 to 240×320. These tests were run on a 900 MHz PC The greatest challenge to this approach is the stable localization and invariant characterization of image features via fast, deterministic techniques.
  • Keywords
    graph theory; image registration; mesh generation; 128 pixel; 200 pixel; 240 pixel; 25600 pixel; 320 pixel; 86400 pixel; LeRP algorithm; deterministic processing; fast landmark-based registration; graph matching; invariant characterization; localization; mean rotational error; range view registration; salient scene features; scene-to-scene correspondence; subgraph isomorphisms; Cameras; Closed-form solution; Computer vision; Image edge detection; Image segmentation; Iterative methods; Layout; Stability; Testing; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Data Processing Visualization and Transmission, 2002. Proceedings. First International Symposium on
  • Print_ISBN
    0-7695-1521-4
  • Type

    conf

  • DOI
    10.1109/TDPVT.2002.1024115
  • Filename
    1024115