Abstract
We seek to detect the vanishing points implied by design sketches of engineering products. Adapting previous approaches, developed in computer vision for analysis of vectorised photographic images, is unsatisfactory, as they do not allow for the inherent imperfection of sketches. Human perception seems not to be disturbed by such imperfections. Hence, we have designed and implemented a vanishing point detection algorithm which mimics the human perception process and tested it with perspective line drawings derived from engineering sketches of polyhedral objects. The new algorithm is fast, easily-implemented, returns the approximate locations of the main vanishing points and identifies those groups of lines in 2D which correspond to groups of parallel edges in the 3D object.
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References
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Acknowledgments
This work was partially funded by financial support from the Ramon y Cajal Scholarship Programme and by the “Pla de Promoció de la Investigació de la Universitat Jaume I”, project P1 1B2010-01.
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Annex
Annex
A C++ implementation of our algorithm is available at www.regeo.uji.es, where the set of examples can also be found.
Groups of edges detected by the algorithm for the 18 examples in reference [1], plus the 7 examples added to further test it, are highlighted in the table (parallel groups are highlighted in thick green lines and convergent groups in thick red lines):
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Company, P., Varley, P.A.C., Plumed, R. (2014). An Algorithm for Grouping Lines Which Converge to Vanishing Points in Perspective Sketches of Polyhedra. In: Lamiroy, B., Ogier, JM. (eds) Graphics Recognition. Current Trends and Challenges. GREC 2013. Lecture Notes in Computer Science(), vol 8746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44854-0_7
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DOI: https://doi.org/10.1007/978-3-662-44854-0_7
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