Abstract
Human figures have been animated using a variety of geometric models including stick figures polygonal models and NURBS-based models with muscles flexible skin or clothing. This paper reports on experimental results indicating that a viewer's perception of motion characteristics is affected by the geometric model used for rendering. Subjects were shown a series of paired motion sequences and asked if the two motions in each pair were the same or differentJhe motion sequences in each pair were rendered using the same geometric model. For the three types of motion variation tested sensitivity scores indicate that subjects were better able to observe changes with the polygonal model than they were with the stick figure model.
Original language | English (US) |
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Pages (from-to) | 307-316 |
Number of pages | 10 |
Journal | IEEE Transactions on Visualization and Computer Graphics |
Volume | 4 |
Issue number | 4 |
DOIs | |
State | Published - 1998 |
Funding
College of Computing at the Georgia Institute of Technology and a member of the Graphics, Visualization, and Usability Center. He received an MS in computer science from the Georgia Institute of Technology in 1996 and a BS in computer science from Florida International University in 1992. His research interests include physically based animation and geometric modeling. In 1997, he received a graduate fellowship from the Intel Foundation. The authors would like to thank Jacquelyn Gray, John Pani, Neff Walker, and the reviewers for their valuable comments. This project was supported in part by U.S. National Science Foundation NYI Grant No. IRI-9457621, Mitsubishi Electric Research Laboratory, and a Packard Fellowship. An earlier version of this work, reporting preliminary results, appeared in the Conference Proceedings of Graphics Interface ‘97.
Keywords
- Biological motion stimuli
- Computer animation
- Geometric model
- Light-dot display
- Motion perception
- Motion sensitivity
- Perceptual study
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design