Employing a Restricted Set of Qualitative Relations in Recognizing Plain Sketches

Ahmed M. H. Abdelfattah ; Zakaria W. 


Abstract


© 2017, Springer International Publishing AG. In this paper, we employ aspects of machine learning, computer vision, and qualitative representations to build a classifier of plain sketches. The paper proposes a hybrid technique for accurately recognizing hand-drawn sketches, by relying on a set of qualitative relations between the strokes that compose such sketches, and by taking advantage of two major perspectives for processing images. Our implementation shows promising results for recognizing sketches that have been hand-drawn by human participants.


Other data

Issue Date 1-Jan-2017
Journal Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 
URI http://research.asu.edu.eg/123456789/671
ISBN 9783319671895
DOI http://api.elsevier.com/content/abstract/scopus_id/85030866562
3
10505 LNAI
10.1007/978-3-319-67190-1_1


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