Titlebook: ;

membrane

A coarse vectorisation as an initial representation for the understanding of line drawing images,ritten). We propose a method in which the problems induced by a first step skeletisation have been avoided. We first achieve a hierarchical representation that enables a fine description of the drawing using only pixels, vectors and quadrilateral primitives. This representation gives a global vision

AMOR

Euclidean paths for representing and transforming scanned characters,ur which is intrinsically jagged while preserving all the initial information it contains. We recall here the general model of Euclidean Paths and the construction of tangent driven Euclidean paths associated with 8-connected boundaries [7]. Tangent driven Euclidean paths provide a good approximatio

AVOID

只有

A constraint network for symbol detection in architectural drawings,ed on Messmer‘s network for exact and inexact graph matching, presents a compact representation of all the symbols, which allows a one-pass search. Some modifications to this method for our specific document analysis problem are outlined: the symbols are represented as sets of constraints on the seg

偶像

A string based method to recognize symbols and structural textures in architectural plans,d by an attributed graph whose nodes represent characteristic points and whose edges represent segments. Symbols and textures can be seen as a set of regions, i.e. closed loops in the graph, with a particular arrangement. The search for a symbol involves a graph matching between the regions of a mod

Compass

Logo recognition by recursive neural networks,are converted into a structured representation based on contour trees. Recursive neural networks are then learnt using the contourtrees as inputs to the neural nets. On the other hand, the contour-tree is constructed by associating a node with each exterior or interior contour extracted from the log

Rustproof

种子

机密

Robust reconstruction of damaged character images on the form documents,t easy to extract characters correctly because the shapes of characters are transformed by line images. In this paper, we propose a new method to reconstruct the character images damaged by the preprinted lines of documents. The method consists of two stages — the character decomposition stage and t

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