A complete system for the analysis of architectural drawings

Dosch, Philippe; Tombre, Karl; Ah-Soon, Christian; Masini, Gérald

doi:10.1007/pl00010901

Cited by 130 publications

(75 citation statements)

References 33 publications

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“…But they all failed to handle raster images of drawings. Dosch [24] introduced a framework to generate buildings from drawing images. After vectorizing the raster image to sets of polylines and arcs, they recognized the predefined architectural symbols and extruded 3D models for each floor separately.…”

Section: Related Workmentioning

confidence: 99%

Drawing-Based Procedural Modeling of Chinese Architectures

Hou

Qin

2012

IEEE Trans. Visual. Comput. Graphics

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Abstract-This paper presents a novel modeling framework to build 3D models of Chinese architectures from elevation drawing. Our algorithm integrates the capability of automatic drawing recognition with powerful procedural modeling to extract production rules from elevation drawing. First, different from the previous symbol-based floor plan recognition, based on the repetitive pattern trees, small horizontal repetitive regions of the elevation drawing are clustered in a bottom-up manner to form architectural components with maximum repetition, which collectively serve as building blocks for 3D model generation. Second, to discover the global architectural structure and its components' interdependencies, the components are structured into a shape tree in a top-down subdivision manner and recognized hierarchically at each level of the shape tree based on Markov Random Fields (MRF). Third, shape grammar rules can be derived to construct the 3D semantic model and its possible variations with the help of a 3D component repository. The salient contribution lies in the novel integration of procedural modeling with elevation drawing, with a unique application to Chinese architectures.

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Section: Related Workmentioning

confidence: 99%

Drawing-Based Procedural Modeling of Chinese Architectures

Hou

Qin

2012

IEEE Trans. Visual. Comput. Graphics

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“…Existing engineering interpretation methods may be roughly classified into five categories, depending on the basic technique they rely on: pixel-level knowledge-independent [6], [7], [9], [10], [11], [22], [23], pixel-level knowledge-dependent [13], [16], [17], [18], [20], [24], [25], [26], [27], [28], [29], vectorial-level knowledge-independent [30], [31], [32], [33], vectorial-level knowledge-dependent [34], [35], [36], [37], [38], [39], and hybrid systems [8], [40], [41].…”

Section: Related Workmentioning

confidence: 99%

“…Comparing with previous interpretation systems for engineering drawings [20], [30], [35], [36], [38], [48], our system offers the following novelties: First, to the best of our knowledge, our system represents the first effort in high-level interpretation real-life complex engineering drawings. Second, rather than using "rules + inference" representations, we devise a descriptor-based knowledge representation method through analyzing the human's interpretation processes of complex high-level engineering drawings.…”

Section: Introductionmentioning

confidence: 99%

A Novel Knowledge-Based System for Interpreting Complex Engineering Drawings: Theory, Representation, and Implementation

Lü

Tai

Yang

et al. 2009

IEEE Trans. Pattern Anal. Mach. Intell.

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Abstract-We present a novel knowledge-based system to automatically convert real-life engineering drawings to content-oriented high-level descriptions. The proposed method essentially turns the complex interpretation process into two parts: knowledge representation and knowledge-based interpretation. We propose a new hierarchical descriptor-based knowledge representation method to organize the various types of engineering objects and their complex high-level relations. The descriptors are defined using an Extended Backus Naur Form (EBNF), facilitating modification and maintenance. When interpreting a set of related engineering drawings, the knowledge-based interpretation system first constructs an EBNF-tree from the knowledge representation file, then searches for potential engineering objects guided by a depth-first order of the nodes in the EBNF-tree. Experimental results and comparisons with other interpretation systems demonstrate that our knowledge-based system is accurate and robust for high-level interpretation of complex real-life engineering projects.

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“…By describing contextual knowledge up to the functional level, we obtained very interesting results on a small subset of drawings representing gears, but the method is barely scalable to a larger area of engineering, due to the complexity of the knowledge representation framework and of the interpretation mechanisms. -Architectural drawings where we designed a hierarchical symbol recognition system [15] based on the propagation of geometrical and topological constraints in a network and a complete system going all the way to building a simplified 3D model of the represented house [16]. Once again, the method achieved very interesting results but is hardly scalable, both in terms of robustness to noise and in terms of computational complexity.…”

Section: Recognitionmentioning

confidence: 99%

Pattern Recognition Methods for Querying and Browsing Technical Documentation

Tombre

2008

Lecture Notes in Computer Science

Self Cite

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To cite this version:Karl Tombre, Bart Lamiroy. Abstract. Graphics recognition deals with the specific pattern recognition problems found in graphics-rich documents, typical technical documentation of all kinds. In this paper, we propose a short journey through 20 years of involvement and contributions within this scientific community, and explore more precisely a few interesting issues found when the problem is to browse, query and navigate in a large and complex set of technical documents.

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A complete system for the analysis of architectural drawings

Cited by 130 publications

References 33 publications

Drawing-Based Procedural Modeling of Chinese Architectures

Drawing-Based Procedural Modeling of Chinese Architectures

A Novel Knowledge-Based System for Interpreting Complex Engineering Drawings: Theory, Representation, and Implementation

Pattern Recognition Methods for Querying and Browsing Technical Documentation

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