Ho Tze-Yiu, Leung Chi Sing, Lam Ping-Man, Wong Tien-Tsin
Department of Electronic Engineering, The City University of Hong Kong, Kowloon, Hong Kong.
IEEE Trans Neural Netw. 2009 Dec;20(12):1987-93. doi: 10.1109/TNN.2009.2032765. Epub 2009 Oct 9.
An illumination adjustable image (IAI) contains a large number of prerecorded images under various light directions. Relighting a scene under complicated lighting conditions can be achieved from the IAI. Using the radial basis function (RBF) approach to represent an IAI is proven to be more efficient than using the spherical harmonic approach. However, to represent high-frequency lighting effects, we need to use many RBFs. Hence, the relighting speed could be very slow. This brief investigates a partial reconstruction scheme for relighting an IAI based on the locality of RBFs. Compared with the conventional RBF and spherical harmonics (SH) approaches, the proposed scheme has a much faster relighting speed under the similar distortion performance.
光照可调节图像（IAI）包含大量在各种光照方向下预先录制的图像。通过IAI可以在复杂光照条件下对场景进行重新打光。事实证明，使用径向基函数（RBF）方法来表示IAI比使用球谐函数方法更有效。然而，为了表示高频光照效果，我们需要使用许多RBF。因此，重新打光的速度可能会非常慢。本简报研究了一种基于RBF局部性的用于IAI重新打光的部分重建方案。与传统的RBF和球谐函数（SH）方法相比，该方案在相似的失真性能下具有更快的重新打光速度。
