GENIUS is a graphical software tool for visualizing genetic networks composed by a high number of genes. It accepts as input a matrix summarizing gene relationships inferred by means of reverse engineering methods. GENIUS offers two visualization modalities (the Agorà style and the TouchGraph style), that can be exploited in a complementary way. It is thus possible to obtain a clear and easily ...

Quad layouting, i.e. the partitioning of a surface into a coarse network of quadrilateral patches, is a fundamental step in application scenarios ranging from animation and simulation to reverse engineering and meshing. This process involves determining the layout’s combinatorial structure as well as its geometric embedding in the surface. We present a novel quad layout algorithm that focuses o...

This paper describes a method of pattern recognition targeted for recognizing complex annotations found in paper documents. Our investigation is motivated by the high reliability required for accomplishing autonomous interpretation of maps and engineering drawings. Our approach includes a strategy based on multiscale representations obtained by hexagonal wavelet analysis. A feasibility study is...

In the engineering database system, multiple versions of a design including engineering drawings should be managed efficiently. The paper proposes an extended spatial data structure for efficient management of multiversion engineering drawings. The R-tree is adapted as a basic data structure. The efficient mechanism to manage the difference between drawings is introduced to the R-tree to elimin...

In this paper a process visualisation development system and its associated development methodology are presented. This methodology is optimised to systems that have complex structure and are built of large number of components belonging to relatively small number of types. In order to handle the complexity, the input requirements of the method is as close to the ”native language” of the applic...

This paper describes a method for the recognition of outlines in engineering drawing in terms of line and arc primitives. The approach is based on vectorizing a binary image, smoothing the vectors so a sequence of small straight lines, and then attempting to fit arcs. Two further levels of constraints are then applied. One ensure smoothness where appropriate, which results in vectors that are p...

This paper examines the detection of geometric primitives using 2D edge pixels or 3D range points. The geometric primitives are described by parametric equations in the image space. An explicit error model allows the primitives to be extracted robustly, while a hierarchical search of the parameter space with conservative pruning allows the primitives to be located e$ciently. The result is an e$...

This paper deals with the optical recognition of text data in documents such as engineering drawings, land-use and land-register maps, and utility maps. The automatic computer acquisition of these documents is performed through the basic steps of vectorization of the line-structure and recognition of the text data interspersed in the document. The latter data are usually handwritten by professi...

In this paper we present an extensive experimental study comparing four general-purpose graph drawing algorithms. The four algorithms take as input general graphs (with no restrictions whatsoever on connectivity, planarity, etc.) and construct orthogonal grid drawings, which are widely used in software and database visualization applications. The test data (available by anonymous ftp) are 11,58...

When using volume-based approach to reconstruct 3D model by engineering drawings, some lost projection lines of a primitive feature parts will result in incorrect recognitions of a complex part, so preprocess of engineering drawings will be necessary. The approach presented in this paper proposes an iterative procedure of pattern recognition and projection mending. By the process, feature parts...