An illumination adjustable image (IAI) contains a large number of pre-recorded reference
images under various lighting directions. It describes the appearance of a
scene illuminated under various lighting directions. Relighting of a scene under complicated
lighting conditions can be generated 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. This thesis investigates two practical issues of
using the RBF approach for relighting an IAI under various lighting configurations.
Firstly, a partial reconstruction scheme for relighting a scene under local light sources
is presented, which is facilitated by the locality of RBF basis functions. Compared
with the conventional approach, the proposed scheme offers the similar distortion performance
but it has a much faster rendering speed. The implementations of rendering
directional light source, point light source and slide projector are presented. Secondly,
a direct projection method for environment relighting of a scene is presented which
supports not only static environment rotation but also time-varying environment.
| Date of Award | 2 Oct 2007 |
|---|
| Original language | English |
|---|
| Awarding Institution | - City University of Hong Kong
|
|---|
| Supervisor | Chi Sing Andrew LEUNG (Supervisor) |
|---|
- Neural networks (Computer science)
- Image processing
Efficient rendering of radial basis function for illumination adjustable image
HO, T. Y. (Author). 2 Oct 2007
Student thesis: Master's Thesis