Name
Title | ||
|---|---|---|
Real-time feature-based image morphing for memory-efficient impostor rendering and animation on GPU |
Abstract | ||
|---|---|---|
Real-time rendering of large animated crowds consisting of thousands of virtual humans is important for several applications including simulations, games, and interactive walkthroughs but cannot be performed using complex polygonal models at interactive frame rates. For that reason, methods using large numbers of precomputed image-based representations, called impostors, have been proposed. These methods take advantage of existing programmable graphics hardware to compensate for computational expense while maintaining visual fidelity. Thanks to these methods, the number of different virtual humans rendered in real time is no longer restricted by computational power but by texture memory consumed for the variety and discretization of their animations. This work proposes a resource-efficient impostor rendering methodology that employs image morphing techniques to reduce memory consumption while preserving perceptual quality, thus allowing higher diversity or resolution of the rendered crowds. Results of the experiments indicated that the proposed method, in comparison with conventional impostor rendering techniques, can obtain 38 % smoother animations or 87 % better appearance quality by reducing the number of key-frames required for preserving the animation quality via resynthesizing them with up to 92 % similarity on real time. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s00371-012-0718-8 | The Visual Computer |
Keywords | Field | DocType |
animation quality,computational expense,real-time feature-based image,different virtual human,conventional impostor rendering technique,real-time rendering,better appearance quality,computational power,perceptual quality,real time,memory-efficient impostor rendering,resource-efficient impostor rendering methodology | Morphing,Computer vision,Crowds,Computer graphics (images),Graphics hardware,Computer science,Texture memory,Frame rate,Crowd simulation,Animation,Artificial intelligence,Rendering (computer graphics) | Journal |
Volume | Issue | ISSN |
29 | 2 | 1432-2315 |
Citations | PageRank | References |
2 | 0.37 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kamer Ali Yuksel | 1 | 18 | 2.78 |
| Alp Yucebilgin | 2 | 3 | 0.72 |
| Selim Balcisoy | 3 | 264 | 37.15 |
| Aytul Ercil | 4 | 177 | 15.16 |