Architectural symbol recognition using a network of constraints

Ah-Soon, Christian; Tombre, Karl

doi:10.1016/s0167-8655(00)00091-x

Cited by 57 publications

(24 citation statements)

References 14 publications

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“…The precision, consistency, and standardization of architectural CAD drawings make this domain amenable to automatic processing algorithms, and an impressive collection of automated sketch recognition programs have been developed for architectural drawings [Ah-soon and Tombre 1997;Ah-Soon and Tombre 2001;Kulikov 2004;Lu et al 2005]. The motivation behind many of these tools is the digitization and automated reconstruction of 3D building geometry from older construction documents.…”

Section: Sketch Recognition For Architectural Drawingsmentioning

confidence: 99%

2. Interpreting Physical Sketches As Architectural Models

Cutler¹,

Nasman²

2017

Advances in Architectural Geometry 2010

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Section: Sketch Recognition For Architectural Drawingsmentioning

confidence: 99%

2. Interpreting Physical Sketches As Architectural Models

Cutler¹,

Nasman²

2017

Advances in Architectural Geometry 2010

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“…These methods fall under structural approaches. They are then represented as Attributed Relational Graphs (ARG) [Bunke and Messmer, 1995;Conte et al, 2004], Region Adjacency Graphs (RAG) [Lladós et al, 2001], constraint networks [Ah-Soon and Tombre, 2001] as well as deformable templates [Valveny and Martí, 2003]. Their common drawback comes from error-prone raster-to-vector conversion.…”

Section: State-of-the-art 121 Symbol Representationsmentioning

confidence: 99%

Symbol recognition using spatial relations

Santosh

Lamiroy

Wendling

2012

Pattern Recognition Letters

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In this paper, we present a method for symbol recognition based on the spatio-structural description of a 'vocabulary' of extracted visual elementary parts. It is applied to symbols in electrical wiring diagrams. The method consists of first identifying vocabulary elements into different groups based on their types (e.g., circle, corner ). We then compute spatial relations between the possible pairs of labelled vocabulary types which are further used as a basis for building an Attributed Relational Graph that fully describes the symbol. These spatial relations integrate both topology and directional information.The experiments reported in this paper show that this approach, used for recognition, significantly outperforms both structural and signal-based state-of-the-art methods.

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“…Drawingbased modeling aims to convert 2D drawings to 3D buildings. Much work has been limited to low-level recognition, such as vectorization [18], text extraction [19], and symbol recognition [20] [21]. High-level recognition is much more complicated.…”

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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Architectural symbol recognition using a network of constraints

Cited by 57 publications

References 14 publications

2. Interpreting Physical Sketches As Architectural Models

2. Interpreting Physical Sketches As Architectural Models

Symbol recognition using spatial relations

Drawing-Based Procedural Modeling of Chinese Architectures

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