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Motion cues for illustration of skeletal motion capture data
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Non-Photorealistic Animation and Rendering archive
Proceedings of the 5th international symposium on Non-photorealistic animation and rendering table of contents
San Diego, California
SESSION: Wired photographs and animations table of contents
Pages: 133 - 140  
Year of Publication: 2007
ISBN:978-1-59593-624-0
Authors
Simon Bouvier-Zappa  Université de Montréal
Victor Ostromoukhov  Université de Montréal
Pierre Poulin  Université de Montréal
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Simon Bouvier-Zappa: colleagues
Victor Ostromoukhov: colleagues
Pierre Poulin: colleagues