Graphics recognition — General context and challenges

Tombre, Karl

doi:10.1016/0167-8655(95)00063-m

Cited by 21 publications

(4 citation statements)

References 31 publications

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“…The construction of vectors and quadrilaterals corresponds to a global approach (and a first representation) of the document. As recommended by K. Tombre in [14], we limit to this construction what is usually called the "vectorization" step. To recognize high level elements (technical/chemical symbols, polygons, circles, …), we found it necessary to organize the data extracted so as to use the context more appropriately during interpretation.…”

Section: Structural Graphmentioning

confidence: 99%

A structural representation for understanding line-drawing images

Ramel

Vincent

Emptoz

2000

International Journal on Document Analysis and Recognition

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In this paper, we are concerned with the problem of finding a good and homogeneous representation to encode line drawing documents (which may be handwritten). We propose a method in which the problems induced by a first step skeletonization have been avoided. First, we achieve a vectorization of the image that enables a fine description of the drawing using only vectors and quadrilateral primitives. A structural graph is built based on these primitives extracted from the initial line drawing image. The objective is to manage attributes relative to elementary objects so as to provide a description of the spatial relationships (inclusion, junction, intersection, etc.) that exist between the graphics in the images. This is done by this representation that provides a global vision of the drawings. The capacity of the representation to evolve and to carry high semantical information is highlighted too. Finally, we show how an architecture using this structural representation and a mechanism of perceptive cycles could enable a good quality interpretation of line drawings. key words : vectorization, feature extraction, structural representation, line drawings JY Ramel, N. Vincent, H. Emptoz: A structural representation for the understanding of line drawings

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Section: Structural Graphmentioning

confidence: 99%

A structural representation for understanding line-drawing images

Ramel

Vincent

Emptoz

2000

International Journal on Document Analysis and Recognition

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“…Various segmentation steps can be performed on an engineering drawing. We discuss here the recognition of physical layers; logical layers can only be recognized by higherlevel analysis methods [22].…”

Section: Segmentationmentioning

confidence: 99%

Analysis of engineering drawings: State of the art and challenges

Tombre

1998

Graphics Recognition Algorithms and Systems

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In this paper, we analyze the state of the art in interpretation of engineering drawings, both from a methodological point of view and from the perspective of the applications. We try to emphasize where techniques are mature, where they need further maturing, and where we still have open challenges. Special attention is given to the progress in the last two years, i.e. to the evolution in the field since GREC'95.

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“…Tombre [9,10] firstly discussed the challenges of automatic recognition of architectural drawings. Ah-Soon and Tombre [11] analyzed the specificities of architectural drawings and recognized objects from the scanned drawings.…”

Section: Introductionmentioning

confidence: 99%

Automatic Generation of 3D Building Models Based on Line Segment Vectorization

Zhu

2020

Mathematical Problems in Engineering

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Operations and maintenance (O&M) management for existing buildings is of high importance since it consumes the most cost during buildings’ lifecycle. Its effectiveness could be significantly improved through the systematic use of building information modeling (BIM). However, BIM relies on full-fledged digital models, which, for most buildings, are not available. This paper introduces a recognition algorithm aiming at the automatic generation of 3D building models from 2D drawings. The algorithm is able to generate separated wall segment 3D models with their topology relations. The algorithm is implemented and tested by several real projects. The results are very promising and show that the proposed algorithm could be a key component of future digital toolkits for O&M management.

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Graphics recognition — General context and challenges

Cited by 21 publications

References 31 publications

A structural representation for understanding line-drawing images

A structural representation for understanding line-drawing images

Analysis of engineering drawings: State of the art and challenges

Automatic Generation of 3D Building Models Based on Line Segment Vectorization

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