Name
Abstract | ||
|---|---|---|
The human visual system (HVS) uses several methods to interactively adapt to the incredible real-world range of light intensities, continually changing to effectively perceive visual information. Eye HDR is a new approach to the problem of displaying high-dynamic-range (HDR) content on low-dynamic-range displays. Instead of creating a single static image, it uses a dynamic display system to naturally, interactively adapt to the user's view, just as the HVS changes depending on the environment. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1665137.1665187 | SIGGRAPH ASIA Art Gallery & Emerging Technologies |
Keywords | Field | DocType |
low-dynamic-range display,light intensity,hvs change,incredible real-world range,gaze-adaptive system,eye hdr,single static image,dynamic display system,new approach,visual information,human visual system,high-dynamic-range image,adaptive system | Computer vision,Static image,Gaze,Computer graphics (images),Human visual system model,Adaptive system,Computer science,Dynamic display,Artificial intelligence,High dynamic range | Conference |
Citations | PageRank | References |
8 | 0.63 | 1 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Susanto Rahardja | 1 | 652 | 102.05 |
| Farzam Farbiz | 2 | 475 | 52.46 |
| Corey Manders | 3 | 89 | 13.16 |
| Huang Zhiyong | 4 | 16 | 3.70 |
| Jamie Ng Suat Ling | 5 | 8 | 0.63 |
| Ishtiaq Rasool Khan | 6 | 78 | 15.92 |
| Ee Ping Ong | 7 | 313 | 33.36 |
| Song Peng | 8 | 8 | 0.63 |