Interactive Thin Shells – A Model Interface for the Analysis of Physically-Based Animation
20th International Conference on Computer Application in Industry and Engineering Proeedings: San Francisco, CA, Page: 128-134
2007
- 203Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage203
- Downloads158
- Abstract Views45
Article Description
Realism has always been a goal in computer graphics. However, the algorithms involved in mimicking the physical world are often complex, abstract, and sensitive to changes in experimental parameters. We present an interface to a physically-based algorithm, a thin shell animation, which focuses on visualization, experimentation, and control. Through the use of dynamic surface coloring, abstract visual cues, robust user interaction, and full control over the algorithm parameters, our system facilitates experimentation and the process of discovery. The system is targeted at enhancing the user’s learning experience by clarifying interactions between various components of many physically-based animations.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know