Spline Interpolation

The objective of this project is to automatically extract both 3D range data and 2D intensity image from
a stripe-light range camera. By texture mapping the two data formats, a realistic 3D textured view of the imaged
object can be obtained. Usually the 3D range data contains a significant level of noise (both random and impulse
noises) which have to be culled away before the data can be useful. In addition, there will also be many missing
data points which have to be recovered through interpolation. In this respect, the candidate should be firmly
grounded in mathematical concepts of splines (cubic, bezier curbes, NURBS) as well as a good working knowledge
on Visual C/C++ programming.
Project Nature: Software base