%0 Journal Article
%T Hand line drawing interpretation as three-dimensional objects
%A Enric Marti
%A Jordi Regincos
%A Jaime Lopez-Krahe
%A Juan J.Villanueva
%J Signal Processing – Intelligent systems for signal and image understanding
%D 1993
%V 32
%N 1-2
%I Elsevier North-Holland, Inc.
%C Amsterdam, The Netherlands, The Netherlands
%@ 0165-1684
%F Enric Marti1993
%O IAM;ISE;
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1611), last updated on Fri, 15 Jul 2011 17:22:53 +0200
%X In this paper we present a technique to interpret hand line drawings as objects in a three-dimensional space. The object domain considered is based on planar surfaces with straight edges, concretely, on ansextension of Origami world to hidden lines. The line drawing represents the object under orthographic projection and it is sensed using a scanner. Our method is structured in two modules: feature extraction and feature interpretation. In the first one, image processing techniques are applied under certain tolerance margins to detect lines and junctions on the hand line drawing. Feature interpretation module is founded on line labelling techniques using a labelled junction dictionary. A labelling algorithm is here proposed. It uses relaxation techniques to reduce the number of incompatible labels with the junction dictionary so that the convergence of solutions can be accelerated. We formulate some labelling hypotheses tending to eliminate elements in two sets of labelled interpretations. That is, those which are compatible with the dictionary but do not correspond to three-dimensional objects and those which represent objects not very probable to be specified by means of a line drawing. New entities arise on the line drawing as a result of the extension of Origami world. These are defined to enunciate the assumptions of our method as well as to clarify the algorithms proposed. This technique is framed in a project aimed to implement a system to create 3D objects to improve man-machine interaction in CAD systems.
%K Line drawing interpretation
%K line labelling
%K scene analysis
%K man-machine interaction
%K CAD input
%K line extraction
%U http://portal.acm.org/citation.cfm?id=155896
%U http://dx.doi.org/10.1016/0165-1684(93)90038-C
%P 91-110