A system to understand hand-drawn floor plans using subgraph isomorphism and Hough transform

Lladós, Josep; López-Krahe, Jaime; Martı́, Enric

doi:10.1007/s001380050068

Cited by 42 publications

(15 citation statements)

References 10 publications

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“…This method focuses on understanding the hand sketched floor plan and converting it into a CAD representation. Similarly, [16] proposed a method for understanding hand drawn floor plans using subgraph isomorphism and Hough transform.…”

Section: Related Workmentioning

confidence: 99%

Improved Automatic Analysis of Architectural Floor Plans

Ahmed

Liwicki

Weber

et al. 2011

2011 International Conference on Document Analysis and Recognition

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This paper proposes a novel complete system for automated floor plan analysis. Besides applying and improving state-of-the-art processing methods, we introduce novel preprocessing methods, e.g., the differentiation between thick, medium, and thin lines and the removal of components outside the convex hull of the outer walls. Especially the latter method increases the performance of the final system. In our experiments on a reference data set we compare our approach to other approaches available in the literature. We show that our system outperforms previous systems. The final room recognition accuracy is 79 % that is 10 % higher than the 69 % achieved by a state-of-the-art approach from the literature.

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Section: Related Workmentioning

confidence: 99%

Improved Automatic Analysis of Architectural Floor Plans

Ahmed

Liwicki

Weber

et al. 2011

2011 International Conference on Document Analysis and Recognition

View full text Add to dashboard Cite

show abstract

“…Other applications include map analysis (Samet and Soffer 1998) and printed music scores (Miyao and Nakano 1996). But there have been few attempts at recognizing architectural symbols; of the few works we are aware of, we can cite Lladós et al (1997), who use attributed graph matching and a special graph-edit algorithm (Lladós and Martí 1999) to recognize symbols taken from a set of known models, and Valveny and Martí (1999), who have proposed a method based on deformable template matching within a Bayesian framework. These methods have proven to be efficient, even for hand-drawn drawings, although the scalability when the number of models increases is not guaranteed.…”

Section: State Of the Artmentioning

confidence: 99%

Architectural symbol recognition using a network of constraints

Ah-Soon

Tombre

2001

Pattern Recognition Letters

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We propose a method for recognizing architectural symbols. The method is based on the description of the model through a set of constraints on geometrical features, and on propagating the features extracted from a drawing through the network of constraints. One advantage of this approach is the possibility to incrementally build and update the model, when new symbols have to be taken into account.

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“…Other applications include cartography [7] and printed music scores [5]. But there have been few attempts at recognizing architectural symbols; one of the only works we are aware of is that of Lladós et al [3], who use attributed graph matching to recognize symbols taken from a set of known models. Their method has proven to be efficient, even for hand-drawn drawings.…”

Section: State Of the Artmentioning

confidence: 99%

Network-based recognition of architectural symbols

Ah-Soon

Tombre

1998

Advances in Pattern Recognition

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Abstract. In this paper, we propose a method for recognizing architectural symbols. The method is based on the description of the model through a set of constraints on geometrical features, and on propagating these constraints through a network, following an idea first proposed by Messmer and Bunke. One of the advantages of this approach is the possibility to incrementally build and update the model, when new symbols have to be taken into account.

show abstract

A system to understand hand-drawn floor plans using subgraph isomorphism and Hough transform

Cited by 42 publications

References 10 publications

Improved Automatic Analysis of Architectural Floor Plans

Improved Automatic Analysis of Architectural Floor Plans

Architectural symbol recognition using a network of constraints

Network-based recognition of architectural symbols

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