Details
| Original language | English |
|---|---|
| Title of host publication | Pattern Recognition - 28th DAGM Symposium, Proceedings |
| Publisher | Springer Verlag |
| Pages | 750-759 |
| Number of pages | 10 |
| ISBN (print) | 3540444122, 9783540444121 |
| Publication status | Published - 2006 |
| Event | 28th Symposium of the German Association for Pattern Recognition, DAGM 2006 - Berlin, Germany Duration: 12 Sept 2006 → 14 Sept 2006 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4174 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
Today's processes to extract man-made objects from measurement data are quite traditional. Often, they are still point based, with the exception of a few systems which allow to automatically fit simple primitives to measurement data. At the same time, demands on the data are steadily growing. The need to be able to automatically transform object representations, for example, in order to generalize their geometry, enforces a structurally rich object description. Likewise, the trend towards more and more detailed representations requires to exploit structurally repetitive and symmetric patterns present in man-made objects, in order to make extraction cost-effective. In this paper, we address the extraction of building façades in terms of a structural description. As has been described previously by other authors, we use a formal grammar to derive a structural façade description in the form of a derivation tree. We use a process based on reversible jump Markov Chain Monte Carlo (rjMCMC) to guide the application of derivation steps during the construction of the tree.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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Pattern Recognition - 28th DAGM Symposium, Proceedings. Springer Verlag, 2006. p. 750-759 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4174 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Reconstruction of façade structures using a formal grammar and RjMCMC
AU - Ripperda, Nora
AU - Brenner, Claus
PY - 2006
Y1 - 2006
N2 - Today's processes to extract man-made objects from measurement data are quite traditional. Often, they are still point based, with the exception of a few systems which allow to automatically fit simple primitives to measurement data. At the same time, demands on the data are steadily growing. The need to be able to automatically transform object representations, for example, in order to generalize their geometry, enforces a structurally rich object description. Likewise, the trend towards more and more detailed representations requires to exploit structurally repetitive and symmetric patterns present in man-made objects, in order to make extraction cost-effective. In this paper, we address the extraction of building façades in terms of a structural description. As has been described previously by other authors, we use a formal grammar to derive a structural façade description in the form of a derivation tree. We use a process based on reversible jump Markov Chain Monte Carlo (rjMCMC) to guide the application of derivation steps during the construction of the tree.
AB - Today's processes to extract man-made objects from measurement data are quite traditional. Often, they are still point based, with the exception of a few systems which allow to automatically fit simple primitives to measurement data. At the same time, demands on the data are steadily growing. The need to be able to automatically transform object representations, for example, in order to generalize their geometry, enforces a structurally rich object description. Likewise, the trend towards more and more detailed representations requires to exploit structurally repetitive and symmetric patterns present in man-made objects, in order to make extraction cost-effective. In this paper, we address the extraction of building façades in terms of a structural description. As has been described previously by other authors, we use a formal grammar to derive a structural façade description in the form of a derivation tree. We use a process based on reversible jump Markov Chain Monte Carlo (rjMCMC) to guide the application of derivation steps during the construction of the tree.
UR - http://www.scopus.com/inward/record.url?scp=33750269827&partnerID=8YFLogxK
U2 - 10.1007/11861898_75
DO - 10.1007/11861898_75
M3 - Conference contribution
AN - SCOPUS:33750269827
SN - 3540444122
SN - 9783540444121
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 750
EP - 759
BT - Pattern Recognition - 28th DAGM Symposium, Proceedings
PB - Springer Verlag
T2 - 28th Symposium of the German Association for Pattern Recognition, DAGM 2006
Y2 - 12 September 2006 through 14 September 2006
ER -