Selective Extraction of Point Sets from Photographs as Starting Events of Generative-Art Line Drawings
Inhaltsverzeichnis
Reference
H. E. Dehlinger, Matthew R. Lewis: Selective Extraction of Point Sets from Photographs as Starting Events of Generative-Art Line Drawings. In: Generative Art 2004.
DOI
Abstract
Assuming a reductionistic position, a drawing is essentially an arrangement of lines and strokes. Whether placed on the paper by the hand of an artist or by a generative algorithm, a drawing emerges in both instances. Nevertheless, it seems reasonable to clearly distinguish between the two production processes: “drawn by the hand of an artist”, and “drawn with an algorithmic generative process”. In each one of these distinct universes, the “Universe of hand drawing” and the “Universe of machine drawing”, infinitely many very unique drawings exist. For the execution of a line, a certain (though not necessary) logic prevails: The line starts at a defined point on the plane and it ends somewhere on the plane. The decision of where to start has to be made first, then the line may “develop”.
In this paper we concentrate on the question of starting points with a focus to generate those from existing photographic images. A procedure is proposed to extract and collect point sets as starting events for generative-art line drawings. A number of strategies are suggested, one of which is implemented using “Max” and “Jitter”, commercially available software used primarily for real-time sound and video processing. The extracted point-sets are then used as inputs to a generative programme. Experimental drawings, following the rule system of this programme have been generated and executed on a pen plotter. The results are encouraging and they suggest interesting aspects for further research.
This project also forms the test bed of our investigations into the use of collaborative software, facilitating joint creation of generative artwork. A number of emerging technologies will be discussed which are enabling the interactive process of rapid generation and evaluation to be globally distributed.
Extended Abstract
Bibtex
Used References
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Links
Full Text
http://www.generativeart.com/on/cic/papersGA2004/9.htm
