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dc.contributor.authorBonnici, Alexandra
dc.contributor.authorCamilleri, Kenneth P.
dc.identifier.citationBonnici, A., & Camilleri, K. (2016). An evolutionary approach to determining hidden lines from a natural sketch. IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016, Cambridge. 26-30.en_GB
dc.description.abstractThis paper focuses on the identification of hidden lines and junctions from natural sketches of drawings that exhibit an extended-trihedral geometry. Identification of hidden lines and junctions is essential in the creation of a complete 3D model of the sketched object, allowing the interpretation algorithms to infer what the unsketched back of the object should look like. This approach first labels the sketched visible edges of the object with a geometric edge label, obtaining a labelled junction at each of the visible junctions of the object. Using a dictionary of junctions with visible and hidden edges, these labelled visible junctions are then used to deduce the edge interpretation and orientation of some of the hidden edges. A genetic algorithm is used to combine these hidden edges into hidden junctions, evolving the representation of the hidden edges and junctions until a feasible hidden view representation of the object is obtained.en_GB
dc.publisherIEEE Computer Societyen_GB
dc.subjectThree-dimensional display systemsen_GB
dc.subjectThree-dimensional modelingen_GB
dc.subjectVisual programming languages (Computer science)en_GB
dc.titleAn evolutionary approach to determining hidden lines from a natural sketchen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameIEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2016en_GB
dc.bibliographicCitation.conferenceplaceCambridge, United Kingdom, 4-8/09/2016en_GB
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