Title
A structural representation for understanding line-drawing images.
Abstract
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.
Year
DOI
Venue
2000
10.1007/s100320000037
IJDAR
Keywords
Field
DocType
spatial relationships,feature extraction
Graphics,Knowledge representation and reasoning,Pattern recognition,Computer science,Vectorization (mathematics),Image processing,Skeletonization,Quadrilateral,Artificial intelligence,Image tracing,Semantics
Journal
Volume
Issue
Citations 
3
2
7
PageRank 
References 
Authors
0.61
15
3
Name
Order
Citations
PageRank
Jean-Yves Ramel128528.18
Nicole Vincent219512.09
Hubert Emptoz338338.09