Real-time nonphotorealistic rendering
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Warping and morphing of graphical objects
Warping and morphing of graphical objects
Painterly rendering for video and interaction
NPAR '00 Proceedings of the 1st international symposium on Non-photorealistic animation and rendering
Non-photorealistic computer graphics: modeling, rendering, and animation
Non-photorealistic computer graphics: modeling, rendering, and animation
Non-Photorealistic Rendering
Stroke Surfaces: Temporally Coherent Artistic Animations from Video
IEEE Transactions on Visualization and Computer Graphics
Real-time watercolor illustrations of plants using a blurred depth test
Proceedings of the 4th international symposium on Non-photorealistic animation and rendering
k-means++: the advantages of careful seeding
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Emotionally aware automated portrait painting
Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
Style and abstraction in portrait sketching
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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We 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.