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  1. Proceedings of the 5th international symposium on Non-photorealistic animation and rendering (NPAR '07)
  2. Motion cues for illustration of skeletal motion capture data
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3D collage: expressive non-realistic modeling
Coherent line drawing
Illustrative rendering in Team Fortress 2
Structure-preserving manipulation of photographs
Modeling with rendering primitives: an interactive non-photorealistic canvas
Hybrid quantitative invisibility
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Illustration of complex real-world objects using images with normals
Sketching, scaffolding, and inking: a visual history for interactive 3D modeling
Isophote distance: a shading approach to artistic stroke thickness
Using NPR to evaluate perceptual shape cues in dynamic environments
Automating joiners
Single camera flexible projection
Highlight lines for conveying shape
Engaging viewers through nonphotorealistic visualizations
Motion cues for illustration of skeletal motion capture data

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Motion cues for illustration of skeletal motion capture data

Content Provider ACM Digital Library
Author Bouvier-Zappa, Simon Ostromoukhov, Victor Poulin, Pierre
Abstract There are many applications for which it is necessary to illustrate motion in a static image using visual cues which do not represent a physical entity in the scene, yet are widely understood to convey motion. For example, consider the task of illustrating the desired movements for exercising, dancing, or a given sport technique. Traditional artists have developed techniques to specify desired movements precisely (technical illustrators) and suggest motion (cartoonists) in an image. In this paper, we present an interactive system to synthesize a 2D image of an animated character by generating artist-inspired motion cues derived from 3D skeletal motion capture data. The primary cues include directed arrows, noise waves, and stroboscopic motion. First, the user decomposes the animation into short sequences containing individual motions which can be represented by visual cues. The system then allows the user to determine a suitable viewpoint for illustrating the movement, to select the proper level in the joint hierarchy, as well as to fine-tune various controls for the depiction of the cues themselves. While the system does provide adapted default values for each control, extracted from the motion capture data, it allows fine-tuning for greater expressiveness. Moreover, these cues are drawn in real time, and maintain a coherent display with changing viewpoints. We demonstrate the benefit of our interactive system on various motion capture sequences.
Starting Page 133
Ending Page 140
Page Count 8
File Format PDF
ISBN 9781595936240
DOI 10.1145/1274871.1274891
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-08-04
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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