Details
| Original language | English |
|---|---|
| Title of host publication | Pattern Recognition - 31st DAGM Symposium, Proceedings |
| Pages | 532-541 |
| Number of pages | 10 |
| Publication status | Published - 2009 |
| Event | 31st Annual Symposium of the Deutsche Arbeitsgemeinschaft fur Mustererkennung, DAGM 2009 - Jena, Germany Duration: 9 Sept 2009 → 11 Sept 2009 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 5748 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
In 3d city modelling the request for details is permanently growing. Because of that automatic facade reconstruction methods are needed. Structure information plays an important role in facade reconstruction since facade elements like windows are arranged in structural patterns. In this paper we present a facade grammar which models these structures. This grammar is used in an rjMCMC based facade reconstruction method. We evaluate the reconstruction method using the eTRIMS [1] image database.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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Pattern Recognition - 31st DAGM Symposium, Proceedings. 2009. p. 532-541 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5748 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Evaluation of structure recognition using labelled facade images
AU - Ripperda, Nora
AU - Brenner, Claus
PY - 2009
Y1 - 2009
N2 - In 3d city modelling the request for details is permanently growing. Because of that automatic facade reconstruction methods are needed. Structure information plays an important role in facade reconstruction since facade elements like windows are arranged in structural patterns. In this paper we present a facade grammar which models these structures. This grammar is used in an rjMCMC based facade reconstruction method. We evaluate the reconstruction method using the eTRIMS [1] image database.
AB - In 3d city modelling the request for details is permanently growing. Because of that automatic facade reconstruction methods are needed. Structure information plays an important role in facade reconstruction since facade elements like windows are arranged in structural patterns. In this paper we present a facade grammar which models these structures. This grammar is used in an rjMCMC based facade reconstruction method. We evaluate the reconstruction method using the eTRIMS [1] image database.
UR - http://www.scopus.com/inward/record.url?scp=70350433513&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03798-6_54
DO - 10.1007/978-3-642-03798-6_54
M3 - Conference contribution
AN - SCOPUS:70350433513
SN - 3642037976
SN - 9783642037979
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 532
EP - 541
BT - Pattern Recognition - 31st DAGM Symposium, Proceedings
T2 - 31st Annual Symposium of the Deutsche Arbeitsgemeinschaft fur Mustererkennung, DAGM 2009
Y2 - 9 September 2009 through 11 September 2009
ER -