Spatio-Temporal Sampling for Dynamic Environment Sequences Liang Wan,  Shue-Kwan Mak, Tien-Tsin Wong and Chi-Sing Leung, IEEE Transactions on Visualization and Computer Graphics (TVCG 2011), Vol. 17, No. 10, pp. 1499-1511, 2011 .

Abstract

Environment sampling is a popular technique for rendering scenes with distant environment illumination. However, the temporal consistency of animations synthesized under dynamic environment sequences has not been fully studied. This paper addresses this problem and proposes a novel method, namely spatio-temporal sampling, to fully exploit both the temporal and spatial coherence of environment sequences. Our method treats an environment sequence as a spatio-temporal volume and samples the sequence by stratifying the volume adaptively. For this purpose, we first present a new metric to measure the importance of each stratified volume. A stratification algorithm is then proposed to adaptively suppress the abrupt temporal and spatial changes in the generated sampling patterns. The proposed method is able to automatically adjust the number of samples for each environment frame and produce temporally coherent sampling patterns. Comparative experiments demonstrate the capability of our method to produce smooth and consistent animations under dynamic environment sequences.

Download

• PDF: (1.29 MB)
     
• Companion video: divx (31.7 MB)
  
  

 

---

copyright © Liang Wan / HOME