CompAesth 10: Workshop on Computational Aesthetics
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Browsing CompAesth 10: Workshop on Computational Aesthetics by Subject "Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation"
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Item Procedural Generation of Surface Detail for Science Fiction Spaceships(The Eurographics Association, 2010) Kinnear, Kate; Kaplan, Craig S.; Pauline Jepp and Oliver DeussenProcedural modelling can be used to generate digital content such as 3D digital models programmatically. In computer graphics, Procedural modelling has focused primarily on natural scenery and cityscapes. This paper considers the use of procedural modelling in a new domain: science fiction spaceships. We examine aesthetic principles as they relate to the beauty and visual interest of spaceships, especially surface details, and determine how these principles can be applied in a practical procedural modelling algorithm.We describe a prototype system that synthesizes and distributes surface details on large-scale spaceships. Given a surface representing the frame of a spaceship, we distribute geometry automatically in a coherent manner to achieve a characteristic science fiction aesthetic.Item Stroke Matching for Paint Dances(The Eurographics Association, 2010) Colton, Simon; Pauline Jepp and Oliver DeussenWe have implemented a non-photorealistic rendering system which simulates the placement of paint/pencil/pastel strokes to produce representational artworks from digital images. The system is able to record an image of each paint stroke independent of the overall picture, in addition to some details about each stroke. Working with sets of paint strokes from paintings of different images, we investigate how to determine which stroke from one picture most closely resembles a given stroke from another picture. This enables the paint strokes from one picture to be used to paint a different painting. This further enables the animation of one picture morphing into another, as the paint strokes move and rotate into new positions and orientations. Using a K-means clustering approach, we can extract a set of representative strokes from a series of paintings/drawings, and animate the same set of strokes moving around a picture in order to represent different scenes at different times. We call such animations paint dances .We apply this technique to sets of portraits and we present the resulting paint dances in an artistic context as video art. We describe here the various methods we experimented with in order to determine an optimal stroke matching and extraction approach.Item Suggestive Hatching(The Eurographics Association, 2010) Singh, Mayank; Schaefer, Scott; Pauline Jepp and Oliver DeussenWe present a method for drawing lines on an object that depict both the shape and shading of the object. To do so, we construct a gradient field of the diffuse intensity of the surface to guide a set of adaptively spaced lines. The shape of these lines reflect the lighting under which the object is being viewed and its shape. When the light source is placed at the viewer's location, these lines emanate from silhouettes and naturally extend Suggestive Contours. By using a hierarchical proximity grid, we can also improve the quality of these lines as well as control their density over the image. We also provide a method for detecting and removing ridge lines in the intensity field, which lead to artifacts in the line drawings.