Accounting for an\-iso\-tro\-pic noise in fine registration of time-of-flight range data with high-resolution surface data (bibtex)
by Lena Maier-Hein, Mirko Schmidt, A. M. Franz, Thiago R. dos Santos, Alexander Seitel, Bernd Jähne, J. M. Fitzpatrick, Hans-Peter Meinzer
Abstract:
Time-of-Flight (ToF) sensors have become a considerable alternative to conventional surface acquisition techniques such as laser range scanning and stereo vision. Application of ToF cameras for the purpose of intra-operative registration requires matching of the noisy surfaces generated from ToF range data onto pre-interventionally acquired high-resolution surfaces. The contribution of this paper is two-fold: Firstly, we present a novel method for fine rigid registration of noisy ToF data with high-resolution surface meshes taking into account both, the noise characteristics of ToF cameras and the resolution of the target mesh. Secondly, we introduce an evaluation framework for assessing the performance of ToF registration methods based on physically realistic ToF range data generated from a virtual scence. According to experiments within the presented evaluation framework, the proposed method outperforms the standard ICP algorithm with respect to correspondence search and transformation computation, leading to a decrease in the target registration error (TRE) of more than 70%.
Reference:
Accounting for an\-iso\-tro\-pic noise in fine registration of time-of-flight range data with high-resolution surface data (Lena Maier-Hein, Mirko Schmidt, A. M. Franz, Thiago R. dos Santos, Alexander Seitel, Bernd Jähne, J. M. Fitzpatrick, Hans-Peter Meinzer), In Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010), Springer, volume 6361, 2010.
Bibtex Entry:
@InProceedings{maier-hein2010a,
  Title                    = {Accounting for an\-iso\-tro\-pic noise in fine registration of time-of-flight range data with high-resolution surface data},
  Author                   = {Lena Maier-Hein and Mirko Schmidt and A. M. Franz and {Thiago R.} {dos Santos} and Alexander Seitel and Bernd Jähne and J. M. Fitzpatrick and Hans-Peter Meinzer},
  Booktitle                = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010)},
  Year                     = {2010},
  Pages                    = {251--258},
  Publisher                = {Springer},
  Series                   = {Lecture Notes in Computer Science},
  Volume                   = {6361},

  Abstract                 = {Time-of-Flight (ToF) sensors have become a considerable alternative to conventional surface acquisition techniques such as laser range scanning and stereo vision. Application of ToF cameras for the purpose of intra-operative registration requires matching of the noisy surfaces generated from ToF range data onto pre-interventionally acquired high-resolution surfaces. The contribution of this paper is two-fold: Firstly, we present a novel method for fine rigid registration of noisy ToF data with high-resolution surface meshes taking into account both, the noise characteristics of ToF cameras and the resolution of the target mesh. Secondly, we introduce an evaluation framework for assessing the performance of ToF registration methods based on physically realistic ToF range data generated from a virtual scence. According to experiments within the presented evaluation framework, the proposed method outperforms the standard ICP algorithm with respect to correspondence search and transformation computation, leading to a decrease in the target registration error (TRE) of more than 70%.},
  Access                   = {1},
  Bibsource                = {DBLP, http://dblp.uni-trier.de},
  Doi                      = {10.1007/978-3-642-15705-9_31},
  File                     = {http:http\://hci.iwr.uni-heidelberg.de/publications/dip/2010/Maier-Hein_MICCAI2010.pdf:PDF},
  Groupid                  = {dip},
  Owner                    = {mischmidt},
  Peer                     = {yes},
  Timestamp                = {2010.12.09}
}