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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ren, Zhong Zhou, Kun Sun, Bo Snyder, John Sloan, Peter-Pike Bao, Hujun Peng, Qunsheng Liu, Xinguo Guo, Baining Wang, Rui |
| Copyright Year | 2006 |
| Abstract | Previous methods for soft shadows numerically integrate over many light directions at each receiver point, testing blocker visibility in each direction. We introduce a method for real-time soft shadows in dynamic scenes illuminated by large, low-frequency light sources where such integration is impractical. Our method operates on vectors representing low-frequency visibility of blockers in the spherical harmonic basis. Blocking geometry is modeled as a set of spheres; relatively few spheres capture the low-frequency blocking effect of complicated geometry. At each receiver point, we compute the product of visibility vectors for these blocker spheres as seen from the point. Instead of computing an expensive SH product per blocker as in previous work, we perform inexpensive vector sums to accumulate the $\textit{log}$ of blocker visibility. SH exponentiation then yields the product visibility vector over all blockers. We show how the SH exponentiation required can be approximated accurately and efficiently for low-order SH, accelerating previous CPU-based methods by a factor of 10 or more, depending on blocker complexity, and allowing real-time GPU implementation. |
| Starting Page | 977 |
| Ending Page | 986 |
| Page Count | 10 |
| File Format | |
| ISSN | 07300301 |
| e-ISSN | 15577368 |
| DOI | 10.1145/1141911.1141982 |
| Volume Number | 25 |
| Issue Number | 3 |
| Journal | ACM Transactions on Graphics (TOG) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-07-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Volterra series Ambient occlusion Lighting environment |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design |
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